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ORCIDGECCO 2008: Atlanta, Georgia, USA
- Conor Ryan, Maarten Keijzer:
Genetic and Evolutionary Computation Conference, GECCO 2008, Proceedings, Atlanta, GA, USA, July 12-16, 2008. ACM 2008, ISBN 978-1-60558-130-9
Ant colony optimization, swarm intelligence, and artificial immune systems papers
- M. A. Hannan Bin Azhar, Farzin Deravi
, Keith R. Dimond:
Criticality dispersion in swarms to optimize n-tuples. 1-8 - Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis Ribeiro Faissol Attux:
Multivariate ant colony optimization in continuous search spaces. 9-16 - Luis de-Marcos, José-Javier Martínez, José Antonio Gutiérrez:
Swarm intelligence in e-learning: a learning object sequencing agent based on competencies. 17-24 - Erik J. Dries, Gilbert L. Peterson:
Scaling ant colony optimization with hierarchical reinforcement learning partitioning. 25-32 - Sascha Häckel, Marco Fischer, David Zechel, Tobias Teich:
A multi-objective ant colony approach for pareto-optimization using dynamic programming. 33-40 - David J. Howden, Tim Hendtlass:
Collective intelligence and bush fire spotting. 41-48 - Johannes Jordan, Sabine Helwig, Rolf Wanka:
Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarms. 49-56 - A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis:
Particle filtering with particle swarm optimization in systems with multiplicative noise. 57-62 - Nauman Mazhar, Muddassar Farooq:
A sense of danger: dendritic cells inspired artificial immune system for manet security. 63-70 - Marco Antonio Montes de Oca, Thomas Stützle:
Convergence behavior of the fully informed particle swarm optimization algorithm. 71-78 - Marek Ostaszewski, Pascal Bouvry, Franciszek Seredynski:
Denial of service detection and analysis using idiotypic networks paradigm. 79-86 - Millie Pant, Radha Thangaraj, Ajith Abraham:
A new quantum behaved particle swarm optimization. 87-94 - Jorge Peña:
Theoretical and empirical study of particle swarms with additive stochasticity and different recombination operators. 95-102 - Muhammad Saleem, Syed Ali Khayam, Muddassar Farooq:
A formal performance modeling framework for bio-inspired ad hoc routing protocols. 103-110 - Amirali Salehi-Abari, Tony White:
Enhanced generalized ant programming (EGAP). 111-118 - M. Zubair Shafiq, Syed Ali Khayam, Muddassar Farooq:
Improving accuracy of immune-inspired malware detectors by using intelligent features. 119-126 - Thomas Stibor:
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions. 127-134 - Dirk Sudholt, Carsten Witt:
Runtime analysis of binary PSO. 135-142 - Sebastian von Mammen, Christian Jacob:
Evolutionary swarm design of architectural idea models. 143-150 - Han Yu:
Optimizing task schedules using an artificial immune system approach. 151-158
Ant colony optimization, swarm intelligence, and artificial immune systems posters
- Abbas Ahmadi, Fakhri Karray, Mohamed Kamel:
Particle swarm clustering ensemble. 159-160 - Aliya Awais, Muddassar Farooq, Muhammad Younus Javed:
Attack analysis & bio-inspired security framework for IP multimedia subsystem. 161-162 - Camelia Chira, D. Dumitrescu, Camelia-Mihaela Pintea:
Heterogeneous sensitive ant model for combinatorial optimization. 163-164 - Junqi Zhang, Kun Liu, Ying Tan, Xingui He:
Allocation of local and global search capabilities of particle in canonical PSO. 165-166 - Junqi Zhang, Kun Liu, Ying Tan, Xingui He:
Magnifier particle swarm optimization for numerical optimization. 167-168
Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware papers
- Elton Bernardo Bandeira de Melo, Aluízio F. R. Araújo:
Modeling ant colony foraging in dynamic and confined environment. 169-176 - Gregory J. Barlow, Choong K. Oh, Stephen F. Smith:
Evolving cooperative control on sparsely distributed tasks for UAV teams without global communication. 177-184 - Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria:
Selection for group-level efficiency leads to self-regulation of population size. 185-192 - Stefan Bornhofen, Claude Lattaud:
On hopeful monsters, neutral networks and junk code in evolving L-systems. 193-200 - Adam Campbell, Annie S. Wu, Randall Shumaker:
Multi-agent task allocation: learning when to say no. 201-208 - Laura M. Grabowski, Wesley R. Elsberry, Charles Ofria, Robert T. Pennock:
On the evolution of motility and intelligent tactic response. 209-216 - David B. Knoester, Philip K. McKinley, Charles Ofria:
Cooperative network construction using digital germlines. 217-224 - D. W. F. van Krevelen, Geoff S. Nitschke:
Neuro-evolution for a gathering and collective construction task. 225-232 - Geoff Nitschke, Martijn C. Schut:
Designing multi-rover emergent specialization. 233-240 - Joshua L. Payne, Margaret J. Eppstein:
The influence of scaling and assortativity on takeover times in scale-free topologies. 241-248 - James Smaldon, Jonathan Blakes, Natalio Krasnogor, Doron Lancet:
A multi-scaled approach to artificial life simulation with P systems and dissipative particle dynamics. 249-256 - Ivan Tanev, Katsunori Shimohara:
Co-evolution of active sensing and locomotion gaits of simulated snake-like robot. 257-264 - Vinod K. Valsalam, Risto Miikkulainen:
Modular neuroevolution for multilegged locomotion. 265-272 - Srinivasa Shivakar Vulli, Sanjeev Agarwal:
Individual-based artificial ecosystems for design and optimization. 273-280
Artificial life, evolutionary robotics, adaptive behavior, evolvable hardware posters
- Sylvain Cussat-Blanc, Fabien Viale, Hervé Luga, Yves Duthen, Denis Caromel:
Genetic algorithms and grid computing for artificial embryogeny. 281-282 - Stanley Gotshall, Terry Soule:
Evolving stable behavior in a spino-neuromuscular system model. 283-284 - Jae-Yoon Jung, James A. Reggia:
Nested evolution of an autonomous agent using descriptive encoding. 285-286 - Peter Krah:
Towards efficient evolution of morphology and control. 287-288 - Brian McGinley, Patrick Rocke, Fearghal Morgan, John Maher:
Reconfigurable analogue hardware evolution of adaptive spiking neural network controllers. 289-290 - Adel Torkaman Rahmani, B. Hoda Helmi:
EIN-WUM: an AIS-based algorithm for web usage mining. 291-292 - Kisung Seo, Soohwan Hyun:
Genetic programming based automatic gait generation for quadruped robots. 293-294 - Stanis Trendelenburg, Joachim Becker, Fabian Henrici, Yiannos Manoli:
A GP algorithm for efficient synthesis of GM-C filters on a hexagonal FPAA structure. 295-296 - Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega:
Behavior-based speciation for evolutionary robotics. 297-298
Bioinformatics and computational biology papers
- Thomas F. Clayton, Leena N. Patel, Gareth Leng, Alan F. Murray, Iain A. B. Lindsay:
Rapid evaluation and evolution of neural models using graphics card hardware. 299-306 - Afshin Esmaeili, Christian Jacob:
Evolution of discrete gene regulatory models. 307-314 - Adrien Goëffon, Macha Nikolski, David James Sherman:
An efficient probabilistic population-based descent for the median genome problem. 315-322 - Sandro Pirkwieser, Günther R. Raidl:
Finding consensus trees by evolutionary, variable neighborhood search, and hybrid algorithms. 323-330 - Francisco José Romero-Campero, Hongqing Cao, Miguel Cámara, Natalio Krasnogor:
Structure and parameter estimation for cell systems biology models. 331-338 - Ryan J. Urbanowicz, Nate Barney, Bill C. White, Jason H. Moore:
Mask functions for the symbolic modeling of epistasis using genetic programming. 339-346
Bioinformatics and computational biology Posters
- Beatriz García Jiménez, Ricardo Aler, Agapito Ledezma, Araceli Sanchis:
Protein-protein functional association prediction using genetic programming. 347-348 - Richard A. Gonçalves, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Myriam Regattieri Delgado:
Warping search: a new metaheuristic applied to the protein structure prediction. 349-350 - Casey S. Greene, Bill C. White, Jason H. Moore:
Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming. 351-352 - Nicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif:
A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. 353-354
Coevolution papers
- Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wieloch:
Fitnessless coevolution. 355-362 - Peter Lichodzijewski, Malcolm I. Heywood:
Managing team-based problem solving with symbiotic bid-based genetic programming. 363-370 - Travis C. Service, Daniel R. Tauritz:
A no-free-lunch framework for coevolution. 371-378 - Min Shi:
An empirical comparison of evolution and coevolution for designing artificial neural network game players. 379-386
Coevolution posters
- Travis C. Service, Daniel R. Tauritz:
Co-optimization algorithms. 387-388 - Liping Yang, Houkuan Huang, Yabin Liu:
A coevolution archive based on problem dimension. 389-390
Estimation of distribution algorithms papers
- Chung-Yao Chuang, Ying-Ping Chen:
On the effectiveness of distributions estimated by probabilistic model building. 391-398 - Carlos M. Fernandes, Cláudio F. Lima, Agostinho C. Rosa:
UMDAs for dynamic optimization problems. 399-406 - José A. Gámez, Juan L. Mateo, José M. Puerta:
Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. 407-414 - Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA. 415-422 - David Iclanzan, D. Dumitrescu:
Going for the big fishes: discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutation. 423-430 - Cláudio F. Lima, Fernando G. Lobo, Martin Pelikan:
From mating pool distributions to model overfitting. 431-438 - Cláudio F. Lima, Carlos M. Fernandes, Fernando G. Lobo:
Investigating restricted tournament replacement in ECGA for non-stationary environments. 439-446 - Martin Pelikan, Helmut G. Katzgraber, Sigismund Kobe:
Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms. 447-454 - Martin Pelikan, Kumara Sastry, David E. Goldberg:
iBOA: the incremental bayesian optimization algorithm. 455-462
Estimation of distribution algorithms posters
- Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski:
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. 463-464 - Alexander E. I. Brownlee, Yanghui Wu, John A. W. McCall, Paul Michael Godley, David E. Cairns, Julie Cowie:
Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. 465-466 - Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry:
Improving the efficiency of the extended compact genetic algorithm. 467-468 - Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Selma Barba-Moreno:
An estimation distribution algorithm with the spearman's rank correlation index. 469-470 - Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren:
Data clustering using virtual population based incremental learning algorithm with similarity matrix encoding strategy. 471-472 - Pedro P. Mayorga-Alvarez, Arturo Hernández Aguirre:
The directional EDA for global optimization. 473-474 - Siddhartha Shakya, Roberto Santana:
An EDA based on local markov property and gibbs sampling. 475-476 - Sergio Ivvan Valdez Peña, Arturo Hernández Aguirre, Salvador Botello Rionda:
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution. 477-478
Evolution strategies, evolutionary programming papers
- Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. 479-486 - Hans-Georg Beyer, Alexander Melkozerov:
Mutative sigma-self-adaptation can beat cumulative step size adaptation when using weighted recombination. 487-494 - Pilar Caamaño, Francisco Bellas, José Antonio Becerra, Richard J. Duro:
Application domain study of evolutionary algorithms in optimization problems. 495-502 - Jens Jägersküpper, Mike Preuss:
Aiming for a theoretically tractable CSA variant by means of empirical investigations. 503-510 - Silja Meyer-Nieberg, Hans-Georg Beyer:
Why noise may be good: additive noise on the sharp ridge. 511-518 - Ofer M. Shir, Jonathan Roslund, Thomas Bäck, Herschel Rabitz:
Performance analysis of derandomized evolution strategies in quantum control experiments. 519-526
Evolution strategies, evolutionary programming posters
- Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Non-monotone differential evolution. 527-528 - Derek James:
A comparison of speciation, extinction, and complexification in neuroevolution with and without selection pressure. 529-530 - Aranildo Rodrigues Lima Junior, Tiago Alessandro Espínola Ferreira:
A hybrid method for tuning neural network for time series forecasting. 531-532 - John Weldon Nicholson, Mark White:
Maintaining population diversity by maintaining family structures. 533-534 - Patrick O. Stalph, Marc Ebner, Martin Michel, Bernd Pfaff, Roland Benz:
Multiobjective evolution of a fuzzy controller in a sewage treatment plant. 535-536 - Onay Urfalioglu, A. Enis Çetin, Ercan E. Kuruoglu:
Levy walk evolution for global optimization. 537-538
Evolutionary combinatorial optimization papers
- Benjamin Doerr, Edda Happ, Christian Klein:
Crossover can provably be useful in evolutionary computation. 539-546 - Rajeev Kumar, Paresh Tolay, Siddharth Tiwary:
Enhancing solution quality of the biobjective graph coloring problem using hybridization of EA: biobjective graph coloring problem. 547-554 - Gabriela Ochoa, Marco Tomassini, Sébastien Vérel, Christian Darabos:
A study of NK landscapes' basins and local optima networks. 555-562 - Wolfgang Steitz, Franz Rothlauf:
Orientation matters: how to efficiently solve ocst problems with problem-specific EAs. 563-570 - Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón:
Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. 571-578 - Fubito Toyama, Kenji Shoji, Juichi Miyamichi:
An iterated greedy algorithm for the node placement problem in bidirectional Manhattan street networks. 579-584 - L. Darrell Whitley, Andrew M. Sutton, Adele E. Howe:
Understanding elementary landscapes. 585-592 - Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
Feasibility-preserving crossover for maximum k-coverage problem. 593-598
Evolutionary combinatorial optimization posters
- Ricardo M. Araújo, Luís C. Lamb:
Distributed problem solving by memetic networks: extended abstract. 599-600 - Mohamed Bahy Bader-El-Den, Riccardo Poli:
Evolving heuristics with genetic programming. 601-602 - István Borgulya:
A parallel evolutionary algorithm for unconstrained binary quadratic problems. 603-604 - M. Borschbach, A. Exeler:
A Tabu history driven crossover operator design for memetic algorithm applied to Max-2SAT-problems. 605-606 - Bryant A. Julstrom:
An evolutionary algorithm for some cases of the single-source constrained plant location problem. 607-608 - Robert E. Keller, Riccardo Poli:
Subheuristic search and scalability in a hyperheuristic. 609-610 - Arindam Khaled, Bryant A. Julstrom:
Greedy heuristics and evolutionary algorithms for the bounded minimum-label spanning tree problem. 611-612 - Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi:
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems. 613-614 - Mohamed Qasem, Adam Prügel-Bennett:
Complexity of Max-SAT using stochastic algorithms. 615-616
Evolutionary multiobjective optimization papers
- Gideon Avigad, Jürgen Branke:
Embedded evolutionary multi-objective optimization for worst case robustness. 617-624 - Dilip Datta, José Rui Figueira, Carlos M. Fonseca, Fernando Tavares-Pereira:
Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study. 625-632 - Kalyanmoy Deb:
A robust evolutionary framework for multi-objective optimization. 633-640 - Christian Horoba, Frank Neumann:
Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization. 641-648 - Hisao Ishibuchi, Noritaka Tsukamoto, Yasuhiro Hitotsuyanagi, Yusuke Nojima:
Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems. 649-656 - Hitoshi Kanoh, Kenta Hara:
Hybrid genetic algorithm for dynamic multi-objective route planning with predicted traffic in a real-world road network. 657-664 - Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre, Salvador Botello Rionda:
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets. 665-672 - Antonio López Jaimes, Carlos A. Coello Coello, Debrup Chakraborty:
Objective reduction using a feature selection technique. 673-680 - Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin:
Pareto analysis for the selection of classifier ensembles. 681-688 - Luis Martí, Jesús García, Antonio Berlanga, José Manuel Molina:
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm. 689-696 - Jella Pfeiffer, Uli Golle, Franz Rothlauf:
Reference point based multi-objective evolutionary algorithms for group decisions. 697-704 - Oliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello:
A new memetic strategy for the numerical treatment of multi-objective optimization problems. 705-712 - Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi:
Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. 713-720 - A. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya:
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms. 721-728 - Santosh Tiwari, Patrick Koch, Georges M. Fadel, Kalyanmoy Deb:
AMGA: an archive-based micro genetic algorithm for multi-objective optimization. 729-736 - Tamara Ulrich, Dimo Brockhoff, Eckart Zitzler:
Pattern identification in pareto-set approximations. 737-744 - Upali K. Wickramasinghe, Xiaodong Li:
Integrating user preferences with particle swarms for multi-objective optimization. 745-752
Evolutionary multiobjective optimization posters
- Gideon Avigad, Carlos A. Coello Coello:
Solving constrained multi-objective problems by objective space analysis. 753-754 - Sadeesha Gamhewa, Philip Hingston:
Testing parallelization paradigms for MOEAs. 755-756 - Coromoto León, Gara Miranda, Carlos Segura:
Parallel hyperheuristic: a self-adaptive island-based model for multi-objective optimization. 757-758 - Giovanni Lizárraga Lizárraga, Arturo Hernández Aguirre, Salvador Botello Rionda:
On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms. 759-760 - Thibaut Lust:
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search. 761-762 - Luis V. Santana-Quintero, Carlos A. Coello Coello, Alfredo García Hernández-Díaz:
Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems. 763-764 - Eduardo José Solteiro Pires, Luís Mendes, Paulo B. de Moura Oliveira, José António Tenreiro Machado, Nuno M. Fonseca Ferreira, João Caldinhas Vaz, Maria João Rosário:
Single-objective front optimization: application to rf circuit design. 765-766 - Feng Wen, Xiaohao Gao, Mitsuo Gen:
A novel approach to route selection in car navigation systems by a multiobjective genetic algorithm. 767-768 - Saúl Zapotecas Martínez, Carlos A. Coello Coello:
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization. 769-770
Formal theory papers
- Martin Dietzfelbinger, Jonathan E. Rowe, Ingo Wegener, Philipp Woelfel:
Precision, local search and unimodal functions. 771-778 - Frank Neumann, Joachim Reichel, Martin Skutella:
Computing minimum cuts by randomized search heuristics. 779-786 - Dirk Sudholt:
Memetic algorithms with variable-depth search to overcome local optima. 787-794 - Thomas Weise, Stefan Niemczyk, Hendrik Skubch, Roland Reichle, Kurt Geihs:
A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes. 795-802 - Dennis Weyland:
Simulated annealing, its parameter settings and the longest common subsequence problem. 803-810 - L. Darrell Whitley, Jonathan E. Rowe:
Focused no free lunch theorems. 811-818
Generative and developmental systems papers
- David B. D'Ambrosio, Kenneth O. Stanley:
Generative encoding for multiagent learning. 819-826 - Namrata Khemka, Scott Novakowski, Gerald Hushlak, Christian Jacob:
Evolutionary design of dynamic SwarmScapes. 827-834 - Hidenori Komatsu, Yasuhiro Hashimoto, Yu Chen, Hirotada Ohashi:
An evolvability-enhanced artificial embryogeny for generating network structures. 835-842 - Taras Kowaliw:
Measures of complexity for artificial embryogeny. 843-850 - Till Steiner, Yaochu Jin, Bernhard Sendhoff:
A cellular model for the evolutionary development of lightweight material with an inner structure. 851-858 - Gunnar Tufte:
Phenotypic, developmental and computational resources: scaling in artificial development. 859-866
Generative and developmental systems posters
- Jeff Clune, Charles Ofria, Robert T. Pennock:
How generative encodings fare on less regular problems. 867-868 - Fei Jiang, Hugues Berry, Marc Schoenauer:
Unsupervised learning of echo state networks: balancing the double pole. 869-870 - Or Yogev, Andrew A. Shapiro, Erik K. Antonsson:
Growth control and disease mechanisms in computational embryogeny. 871-872
Genetic algorithms papers
- Claus de Castro Aranha, Hitoshi Iba:
A tree-based GA representation for the portfolio optimization problem. 873-880 - Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David Cornforth:
Search space reduction technique for constrained optimization with tiny feasible space. 881-888 - Anurag Bhatt, Pratul Varshney, Kalyanmoy Deb:
In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm. 889-896 - Eduardo G. Carrano, Ricardo H. C. Takahashi, Elizabeth F. Wanner:
An enhanced statistical approach for evolutionary algorithm comparison. 897-904 - Jorge Cervantes, Christopher R. Stephens:
Rank based variation operators for genetic algorithms. 905-912 - Luís Da Costa, Álvaro Fialho, Marc Schoenauer, Michèle Sebag:
Adaptive operator selection with dynamic multi-armed bandits. 913-920 - Travis J. Desell, Boleslaw K. Szymanski, Carlos A. Varela:
An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computing. 921-928 - Benjamin Doerr, Thomas Jansen, Christian Klein:
Comparing global and local mutations on bit strings. 929-936 - Carlos M. Fernandes, Juan Julián Merelo Guervós, Vitorino Ramos, Agostinho C. Rosa:
A self-organized criticality mutation operator for dynamic optimization problems. 937-944 - Tobias Friedrich, Pietro S. Oliveto, Dirk Sudholt, Carsten Witt:
Theoretical analysis of diversity mechanisms for global exploration. 945-952 - Edda Happ, Daniel Johannsen, Christian Klein, Frank Neumann:
Rigorous analyses of fitness-proportional selection for optimizing linear functions. 953-960 - Wojciech Jaskowski, Wojciech Kotlowski:
On selecting the best individual in noisy environments. 961-968 - Telma Woerle de Lima, Franz Rothlauf, Alexandre C. B. Delbem:
The node-depth encoding: analysis and application to the bounded-diameter minimum spanning tree problem. 969-976 - Jiun-Jiue Liou, Ying-Ping Chen:
Adaptive discretization on multidimensional continuous search spaces. 977-984 - Xavier Llorà, Noriko Imafuji Yasui, David E. Goldberg:
Graph-theoretic measure for active iGAs: interaction sizing and parallel evaluation ensemble. 985-992 - Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre:
Voronoi-initializated island models for solving real-coded deceptive problems. 993-1000 - Takéhiko Nakama:
Theoretical analysis of genetic algorithms in noisy environments based on a Markov Model. 1001-1008 - André Neubauer:
Theory of the simple genetic algorithm with alpha-selection. 1009-1016 - Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim:
Non-genetic transmission of memes by diffusion. 1017-1024 - Taejin Park, Ri Choe, Kwang Ryel Ryu:
Dual-population genetic algorithm for nonstationary optimization. 1025-1032 - Martin Pelikan:
Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes. 1033-1040 - Alan Sheahan, Conor Ryan:
A transformation-based approach to static multiprocessor scheduling. 1041-1048 - Liang Shi, Khaled Rasheed:
ASAGA: an adaptive surrogate-assisted genetic algorithm. 1049-1056 - Forrest Stonedahl, William Rand, Uri Wilensky:
CrossNet: a framework for crossover with network-based chromosomal representations. 1057-1064 - Luigi Troiano, Cosimo Birtolo, Maria Miranda:
Adapting palettes to color vision deficiencies by genetic algorithm. 1065-1072 - Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
Empirical investigations on parallel competent genetic algorithms. 1073-1080 - James M. Whitacre, Hussein A. Abbass, Ruhul A. Sarker, Axel Bender, Stephen Baker:
Strategic positioning in tactical scenario planning. 1081-1088 - Tian-Li Yu, Wei-Kai Lin:
Optimal sampling of genetic algorithms on polynomial regression. 1089-1096
Genetic algorithms posters
- Igor Berenboym, Mireille Avigal:
Genetic algorithms with local search optimization for protein structure prediction problem. 1097-1098 - Karel P. Bergmann, Renate Scheidler, Christian Jacob:
Cryptanalysis using genetic algorithms. 1099-1100 - Ron Breukelaar, Thomas Bäck:
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata. 1101-1102 - Pedro Ángel Castillo Valdivieso, G. Fernández, Antonio Mora García, Juan Julián Merelo Guervós, José Luis Bernier, Alberto Prieto:
Evolving machine microprograms. 1103-1104 - Paul Michael Godley, David E. Cairns, Julie Cowie, Kevin Swingler, John A. W. McCall:
The effects of mutation and directed intervention crossover when applied to scheduling chemotherapy. 1105-1106 - Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki:
Analysis of the performance of genetic multi-step search in interpolation and extrapolation domain. 1107-1108 - Ekaterina A. Holdener, Daniel R. Tauritz:
Learning offspring optimizing mate selection. 1109-1110 - Hisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima:
Maintaining the diversity of solutions by non-geometric binary crossover: a worst one-max solver competition case study. 1111-1112 - Hsinyi Jiang, Carl K. Chang:
Deriving evaluation metrics for applicability of genetic algorithms to optimization problems. 1113-1114 - Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohammad Mehdi Ebadzadeh:
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual. 1115-1116 - Yong-Hyuk Kim:
Linear transformation in Pseudo-Boolean functions. 1117-1118 - Antonio LaTorre, José María Peña Sánchez, Víctor Robles, Santiago Muelas:
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. 1119-1120 - Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen:
Optinformatics for schema analysis of binary genetic algorithms. 1121-1122 - Zhenhua Li, Erik D. Goodman:
A practical search index and population size analysis based on the building block hypothesis. 1123-1124 - Flávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi:
The micro-genetic operator in the search of global trends. 1125-1126 - Brian McGinley, Fearghal Morgan, Colm O'Riordan:
Maintaining diversity through adaptive selection, crossover and mutation. 1127-1128 - Mehran Najafi, Hamid Beigy:
Using PCA to improve evolutionary cellular automata algorithms. 1129-1130 - Mehrdad Nojoumian, Divya K. Nair:
Comparing genetic algorithm and guided local search methods by symmetric TSP instances. 1131-1132 - Gregor Papa:
Parameter-less evolutionary search. 1133-1134 - Greg Paperin:
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins. 1135-1136 - Clara Pizzuti:
Community detection in social networks with genetic algorithms. 1137-1138 - José L. Risco-Martín, José Ignacio Hidalgo, Juan Lanchares, Oscar Garnica:
Solving discrete deceptive problems with EMMRS. 1139-1140 - Cem Safak Sahin, Elkin Urrea, M. Ümit Uyar, Michael Conner, Ibrahim Hökelek, Giorgio Bertoli, Christian Pizzo:
Genetic algorithms for self-spreading nodes in MANETs. 1141-1142 - Yuji Sato, David E. Goldberg, Kumara Sastry:
Improving small population performance under noise with viral infection + tropism. 1143-1144 - Flávio Luiz Seixas, Luiz Satoru Ochi, Aura Conci, Débora C. Muchaluat-Saade:
Image registration using genetic algorithms. 1145-1146 - Nathaniel P. Troutman, Brent E. Eskridge, Dean F. Hougen:
Is "best-so-far" a good algorithmic performance metric? 1147-1148 - Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi:
Coordinate change operators for genetic algorithms. 1149-1150 - Or Yogev, Andrew A. Shapiro, Erik K. Antonsson:
Modularity and symmetry in computational embryogeny. 1151-1152 - Maider Zamalloa, Luis Javier Rodríguez, Mikel Peñagarikano, Germán Bordel, Juan Pedro Uribe:
Comparing genetic algorithms to principal component analysis and linear discriminant analysis in reducing feature dimensionality for speaker recognition. 1153-1154
Genetic programming papers
- Alexandros Agapitos, Matthew Dyson, Simon M. Lucas, Francisco Sepulveda:
Learning to recognise mental activities: genetic programming of stateful classifiers for brain-computer interfacing. 1155-1162 - Alexandros Agapitos, Matthew Dyson, Jenya Kovalchuk, Simon M. Lucas:
On the genetic programming of time-series predictors for supply chain management. 1163-1170 - Douglas Adriano Augusto, Helio J. C. Barbosa, Nelson F. F. Ebecken:
Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification. 1171-1178 - Linge Bai, Manolya Eyiyurekli, David E. Breen:
Automated shape composition based on cell biology and distributed genetic programming. 1179-1186 - Franck Binard, Amy P. Felty:
Genetic programming with polymorphic types and higher-order functions. 1187-1194 - Brian M. Cerny, Peter C. Nelson, Chi Zhou:
Using differential evolution for symbolic regression and numerical constant creation. 1195-1202 - Yoshitaka Kameya, Junichi Kumagai, Yoshiaki Kurata:
Accelerating genetic programming by frequent subtree mining. 1203-1210 - Ahmed Kattan, Riccardo Poli:
Evolutionary lossless compression with GP-ZIP*. 1211-1218 - Paul Kaufmann, Marco Platzner:
Advanced techniques for the creation and propagation of modules in cartesian genetic programming. 1219-1226 - Rajeev Kumar, Ashwin H. Joshi, Krishna K. Banka, Peter I. Rockett:
Evolution of hyperheuristics for the biobjective 0/1 knapsack problem by multiobjective genetic programming. 1227-1234 - Nicholas Freitag McPhee, Riccardo Poli:
Memory with memory: soft assignment in genetic programming. 1235-1242 - Antonio Mora García, Pedro Ángel Castillo Valdivieso, Juan Julián Merelo Guervós, Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman:
Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks. 1243-1250 - Gearoid Murphy, Conor Ryan:
Exploiting the path of least resistance in evolution. 1251-1258 - Robin Nunkesser:
Analysis of a genetic programming algorithm for association studies. 1259-1266 - Riccardo Poli, Nicholas Freitag McPhee:
Parsimony pressure made easy. 1267-1274 - Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi:
The impact of population size on code growth in GP: analysis and empirical validation. 1275-1282 - Leonardo Bruno de Sá, Antonio Carneiro de Mesquita Filho:
Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation. 1283-1290 - Lee Spector, David M. Clark, Ian Lindsay, Bradford Barr, Jon Klein:
Genetic programming for finite algebras. 1291-1298 - Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega:
Multiobjective design of operators that detect points of interest in images. 1299-1306 - Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen:
A genetic programming approach to business process mining. 1307-1314 - David C. Wedge, Douglas B. Kell:
Rapid prediction of optimum population size in genetic programming using a novel genotype -: fitness correlation. 1315-1322 - Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Johnston:
An analysis of multi-sampled issue and no-replacement tournament selection. 1323-1330
Genetic Programming Postes
- Renaud Barate, Antoine Manzanera:
Generalization performance of vision based controllers for mobile robots evolved with genetic programming. 1331-1332 - Janet Clegg:
Combining cartesian genetic programming with an estimation of distribution algorithm. 1333-1334 - Sergey V. Fogelson, Walter D. Potter:
A formulation for the relative permittivity of water and steam to high temperatures and pressures evolved using genetic programming. 1335-1336 - Ting Hu, Wolfgang Banzhaf:
Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ka/ks. 1337-1338 - Tony E. Lewis, George D. Magoulas:
TREAD: a new genetic programming representation aimed at research of long term complexity growth. 1339-1340 - Cuimin Li, Tomoyuki Hiroyasu, Mitsunori Miki:
Stress-based crossover operator for structure topology optimization using small population size and variable length chromosome. 1341-1342 - Riccardo Poli, Nicholas Freitag McPhee, Leonardo Vanneschi:
Elitism reduces bloat in genetic programming. 1343-1344 - Tony White, Amirali Salehi-Abari:
A swarm-based crossover operator for genetic programming. 1345-1346 - Gayan Wijesinghe, Victor Ciesielski:
Experiments with indexed FOR-loops in genetic programming. 1347-1348
Genetics-based machine learning and learning classifier systems papers
- Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, Daniele Loiacono:
An analysis of matching in learning classifier systems. 1349-1356 - Martin V. Butz, Oliver Herbort:
Context-dependent predictions and cognitive arm control with XCSF. 1357-1364 - Martin V. Butz, Patrick O. Stalph, Pier Luca Lanzi:
Self-adaptive mutation in XCSF. 1365-1372 - Rick Chow, Wei Zhong, Michael Blackmon, Richard Stolz, Marsha Dowell:
An efficient SVM-GA feature selection model for large healthcare databases. 1373-1380 - Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren:
Genetic-guided semi-supervised clustering algorithm with instance-level constraints. 1381-1388 - Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Self-adaptive constructivism in Neural XCS and XCSF. 1389-1396 - Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner:
Accelerating neuroevolutionary methods using a Kalman filter. 1397-1404 - Nate Kohl, Risto Miikkulainen:
Evolving neural networks for fractured domains. 1405-1412 - Francesc Teixidó-Navarro, Albert Orriols-Puig, Ester Bernadó-Mansilla:
Hierarchical evolution of linear regressors. 1413-1420
Genetics-based machine learning and learning classifier systems posters
- Jaume Bacardit, Natalio Krasnogor:
Fast rule representation for continuous attributes in genetics-based machine learning. 1421-1422 - Eulanda Miranda dos Santos, Luiz S. Oliveira, Robert Sabourin, Patrick Maupin:
Overfitting in the selection of classifier ensembles: a comparative study between PSO and GA. 1423-1424 - Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun:
Towards efficient online reinforcement learning using neuroevolution. 1425-1426 - Cristiano Grijó Pitangui, Gerson Zaverucha:
Genetic local search for rule learning. 1427-1428 - Steffen Priesterjahn:
Imitation-based evolution of artificial players in modern computer games. 1429-1430 - Steffen Priesterjahn, Alexander Weimer, Markus Eberling:
Real-time imitation-based adaptation of gaming behaviour in modern computer games. 1431-1432 - José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín:
A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions. 1433-1434 - Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Fine-grained population diversity estimation for genetic programming based structure identification. 1435-1436
Real-world application papers
- Hussein A. Abbass, Axel Bender, Hai Huong Dam, Stephen Baker, James M. Whitacre, Ruhul A. Sarker:
Computational scenario-based capability planning. 1437-1444 - Ajith Abraham, Arijit Biswas, Swagatam Das, Sambarta Dasgupta:
Design of fractional order PIlambdaDµ controllers with an improved differential evolution. 1445-1452 - Victor Ciesielski, Nelson Wu, Seyed M. M. Tahaghoghi:
Evolving similarity functions for code plagiarism detection. 1453-1460 - Sanjoy Das, Praveen Koduru, Xinye Cai, Stephen M. Welch, Venkatesh Sarangan:
The gene regulatory network: an application to optimal coverage in sensor networks. 1461-1468 - Omid David-Tabibi, Moshe Koppel, Nathan S. Netanyahu:
Genetic algorithms for mentor-assisted evaluation function optimization. 1469-1476 - Jesús Manuel de la Cruz, Eva Besada-Portas, Luis de la Torre-Cubillo, Bonifacio Andres-Toro, José Antonio López Orozco:
Evolutionary path planner for UAVs in realistic environments. 1477-1484 - Ben George, Stuart J. Gibson, Matthew I. S. Maylin, Christopher J. Solomon:
EFIT-V -: interactive evolutionary strategy for the construction of photo-realistic facial composites. 1485-1490 - Christian Grimme, Joachim Lepping, Alexander Papaspyrou:
Discovering performance bounds for grid scheduling by using evolutionary multiobjective optimization. 1491-1498 - Isil Hasircioglu, Haluk Rahmi Topcuoglu, Murat Ermis:
3-D path planning for the navigation of unmanned aerial vehicles by using evolutionary algorithms. 1499-1506 - Ghada Hassan, Christopher D. Clack:
Multiobjective robustness for portfolio optimization in volatile environments. 1507-1514 - José Ignacio Hidalgo, José L. Risco-Martín, David Atienza, Juan Lanchares:
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems. 1515-1522 - Yoshikazu Hirayama, Tim Clarke, Julian Francis Miller:
Fault tolerant control using Cartesian genetic programming. 1523-1530 - Tim Holmes, Johannes Zanker:
Eye on the prize: using overt visual attention to drive fitness for interactive evolutionary computation. 1531-1538 - Jirí Jaros, Vaclav Dvorak:
An evolutionary design technique for collective communications on optimal diameter-degree networks. 1539-1546 - Ratiba Kabli, John A. W. McCall, Frank Herrmann, Eng Ong:
Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management. 1547-1554 - Johannes W. Kruisselbrink, Thomas Bäck, Adriaan P. IJzerman, Eelke van der Horst:
Evolutionary algorithms for automated drug design towards target molecule properties. 1555-1562 - Ryan E. Leigh, Justin Schonfeld, Sushil J. Louis:
Using coevolution to understand and validate game balance in continuous games. 1563-1570 - Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John Andrew Clark:
MLS security policy evolution with genetic programming. 1571-1578 - Francisco Luna, César Estébanez, Coromoto León, José Manuel Chaves-González, Enrique Alba, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Antonio J. Nebro, José María Valls, Gara Miranda, Juan Antonio Gómez Pulido:
Metaheuristics for solving a real-world frequency assignment problem in GSM networks. 1579-1586 - Shouichi Matsui, Seiji Yamada:
Optimizing hierarchical menus by genetic algorithm and simulated annealing. 1587-1594 - Hans Jonas Fossum Moen, Stein Kristoffersen:
Multi-resistant radar jamming using genetic algorithms. 1595-1602 - Tomasz Michal Oliwa:
Genetic algorithms and the abc music notation language for rock music composition. 1603-1610 - Gerulf K. M. Pedersen, Zhenyu Yang:
Efficiency optimization of a multi-pump booster system. 1611-1618 - Gerulf K. M. Pedersen, Zhenyu Yang:
Estimation of pump-curves using genetic algorithms. 1619-1626 - Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, Conor Ryan:
VoIP speech quality estimation in a mixed context with genetic programming. 1627-1634 - Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg:
Speeding online synthesis via enforced selecto-recombination. 1635-1642 - Karel Slaný:
Branch predictor on-line evolutionary system. 1643-1648 - Andy Song, Danny Fang:
Robust method of detecting moving objects in videos evolved by genetic programming. 1649-1656 - Neal Wagner, Zbigniew Michalewicz:
An analysis of adaptive windowing for time series forecasting in dynamic environments: further tests of the DyFor GP model. 1657-1664 - Amy Willis, Suneer Patel, Christopher D. Clack:
GP age-layer and crossover effects in bid-offer spread prediction. 1665-1672 - Shelly Xiaonan Wu, Wolfgang Banzhaf:
Combatting financial fraud: a coevolutionary anomaly detection approach. 1673-1680 - Wei Yan, Martin Victor Sewell, Christopher D. Clack:
Learning to optimize profits beats predicting returns -: comparing techniques for financial portfolio optimisation. 1681-1688
Real-world application posters
- Shinichiro Ataka, Mitsuo Gen:
The study for transportation planning considered the inventory using hybrid genetic algorithm. 1689-1690 - Yossi Borenstein, Nazaraf Shah, Edward P. K. Tsang, Raphaël Dorne, Abdullah Alsheddy, Christos Voudouris:
On the partitioning of dynamic scheduling problems -: assigning technicians to areas. 1691-1692 - Yan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Construction of portfolio optimization system using genetic network programming with control nodes. 1693-1694 - Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Ajith Abraham:
Automatic circle detection on images with an adaptive bacterial foraging algorithm. 1695-1696 - Luis de-Marcos, José-Javier Martínez, José Antonio Gutiérrez, Roberto Barchino, José María Gutiérrez:
An evolutionary approach for competency-based curriculum sequencing. 1697-1698 - Rinku Dewri, L. Darrell Whitley, Indrakshi Ray, Indrajit Ray:
Evolution strategy based optimization of on-demand dependent data broadcast scheduling. 1699-1700 - Pablo García-Sánchez, Juan Julián Merelo Guervós, Juan P. Sevilla, Juan Luis Jiménez Laredo, Antonio Miguel Mora, Pedro Ángel Castillo Valdivieso:
Automatic generation of XSLT stylesheets using evolutionary algorithms. 1701-1702 - Gyorgy Gyurecz:
Genetic algorithm in removing local NURBS surface irregularities using highlight lines. 1703-1704 - Shyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore:
Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography. 1705-1706 - Jeong-eun Lee, Mitsuo Gen, Kyong-gu Rhee:
Designing a multistage reverse logistics network problem by hybrid genetic algorithm. 1707-1708 - Shingo Mabu, Yan Chen, Etsushi Ohkawa, Kotaro Hirasawa:
Stock trading strategies by genetic network programming with flag nodes. 1709-1710 - Paul E. MacNeil:
Genetic algorithms and solutions of an interesting differential equation. 1711-1712 - Alberto Ochoa Ortíz, Angel Eduardo Muñoz Zavala, Arturo Hernández Aguirre:
A hybrid system using PSO and data mining for determining the ranking of a new participant in Eurovision. 1713-1714 - Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa:
Varying portfolio construction of stocks using genetic network programming with control nodes. 1715-1716 - David Oranchak:
Evolutionary algorithm for decryption of monoalphabetic homophonic substitution ciphers encoded as constraint satisfaction problems. 1717-1718 - Juan C. Quiroz, Amit Banerjee, Sushil J. Louis:
IGAP: interactive genetic algorithm peer to peer. 1719-1720 - Yuji Sato, Ryosuke Suzuki, Yosuke Akatsuka:
Dependencies on player formation in event-driven hybrid learning classifier systems for soccer video games. 1721-1722 - Deepak Sharma, Kalyanmoy Deb, N. N. Kishore:
A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms. 1723-1724 - Kejun Zhang, Shouqian Sun, Hongzong Si:
Prediction of retention times for a large set of pesticides based on improved gene expression programming. 1725-1726
Search-based software engineering papers
- Enrique Alba, Francisco Chicano:
Searching for liveness property violations in concurrent systems with ACO. 1727-1734 - Enrique Alba, Francisco Chicano, Marco Ferreira, Juan Antonio Gómez Pulido:
Finding deadlocks in large concurrent Java programs using genetic algorithms. 1735-1742 - Vahid Garousi:
Empirical analysis of a genetic algorithm-based stress test technique. 1743-1750 - Heather Goldsby, Betty H. C. Cheng:
Avida-MDE: a digital evolution approach to generating models of adaptive software behavior. 1751-1758 - Kiran Lakhotia, Mark Harman, Phil McMinn:
Handling dynamic data structures in search based testing. 1759-1766 - Yan Wang, Zhiwen Bai, Miao Zhang, Wen Du, Ying Qin, Xiyang Liu:
Fitness calculation approach for the switch-case construct in evolutionary testing. 1767-1774 - David Robert White, John A. Clark, Jeremy Jacob, Simon M. Poulding:
Searching for resource-efficient programs: low-power pseudorandom number generators. 1775-1782
Search-based software engineering posters
- José Carlos Bregieiro Ribeiro, Mário Zenha Rela, Francisco Fernández de Vega:
Strongly-typed genetic programming and purity analysis: input domain reduction for evolutionary testing problems. 1783-1784 - Christopher L. Simons, Ian C. Parmee:
Agent-based support for interactive search in conceptual software engineering design. 1785-1786
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