• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 4,675 matches

• 2023
• 
  P. Anton Bouter:
  Optimal Mixing Evolutionary Algorithms for Large-Scale Real-Valued Optimization: Including Real-World Medical Applications. Delft University of Technology, Netherlands, 2023
• 
  Eduardo Fernández, Jorge Navarro, Efrain Solares, Carlos A. Coello Coello, Raymundo Díaz, Abril Flores:
  Inferring Preferences for Multi-Criteria Ordinal Classification Methods Using Evolutionary Algorithms. IEEE Access 11: 3044-3061 (2023)
• 
  Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska:
  How Much Do Swarm Intelligence and Evolutionary Algorithms Improve Over a Classical Heuristic From 1960? IEEE Access 11: 19775-19793 (2023)
• 
  Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
  When move acceptance selection hyper-heuristics outperform Metropolis and elitist evolutionary algorithms and when not. Artif. Intell. 314: 103804 (2023)
• 
  Zainab Al Ani, Ashish M. Gujarathi, Ala'a H. Al-Muhtaseb:
  A state of art review on applications of multi-objective evolutionary algorithms in chemicals production reactors. Artif. Intell. Rev. 56(3): 2435-2496 (2023)
• 
  Christophe Cariou, Laure Moiroux-Arvis, François Pinet, Jean-Pierre Chanet:
  Evolutionary Algorithm with Geometrical Heuristics for Solving the Close Enough Traveling Salesman Problem: Application to the Trajectory Planning of an Unmanned Aerial Vehicle. Algorithms 16(1): 44 (2023)
• 
  Pavel Matrenin:
  Improvement of Ant Colony Algorithm Performance for the Job-Shop Scheduling Problem Using Evolutionary Adaptation and Software Realization Heuristics. Algorithms 16(1): 15 (2023)
• 
  Lin Zhang, Liping Wang, Xiaotian Pan, Qicang Qiu:
  A reference vector adaptive strategy for balancing diversity and convergence in many-objective evolutionary algorithms. Appl. Intell. 53(7): 7423-7438 (2023)
• 
  Tuo-Bin Yu, Yu-Hui Zhang, Yue-Jiao Gong, Yuan Li:
  Locality sensitive hashing-driven multifactorial evolutionary algorithms for multitask optimization. Appl. Soft Comput. 132: 109827 (2023)
• 
  Gianni Filograsso, Giacomo di Tollo:
  Adaptive evolutionary algorithms for portfolio selection problems. Comput. Manag. Sci. 20(1): 7 (2023)
• 
  Mohammad Bananmah, Mohammad Reza Nikoo, Mehrdad Ghorbani Mooselu, Amir H. Gandomi:
  Optimum design of the chute-flip bucket system using evolutionary algorithms considering conflicts between decision-makers. Expert Syst. Appl. 216: 119480 (2023)
• 
  Jyotirmoy Nirupam Das, Manoj Kumar Tiwari, Ashesh Kumar Sinha, Vivek Khanzode:
  Integrated warehouse assignment and carton configuration optimization using deep clustering-based evolutionary algorithms. Expert Syst. Appl. 212: 118680 (2023)
• 
  Aisha Sir Elkhatem, Seref Naci Engin:
  Enhancing performance and stability of gain-scheduling control system using evolutionary algorithms: A case study on transport aircraft. Expert Syst. Appl. 213(Part): 118859 (2023)
• 
  S. R. Mirshafaei, Hashem Saberi Najafi, E. Khaleghi, Amir Hosein Refahi Sheikhani:
  A new hybrid method of Evolutionary-Numerical algorithms to solve ODEs arising in physics and engineering. Genet. Program. Evolvable Mach. 24(1): 1 (2023)
• 
  Raquel Espinosa, Fernando Jiménez, José T. Palma:
  Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data. Inf. Sci. 622: 1064-1091 (2023)
• 
  Libin Hong, Youjian Guo, Fuchang Liu, Ben Wang:
  A variant of the united multi-operator evolutionary algorithms using sequential quadratic programming and improved SHADE-cnEpSin. Inf. Sci. 622: 652-681 (2023)
• 
  Zan Yang, Haobo Qiu, Liang Gao, Danyang Xu, Yuanhao Liu:
  A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems. Inf. Sci. 619: 491-508 (2023)
• 
  Henry E. L. Cagnini, Silvia N. das Dôres, Alex Alves Freitas, Rodrigo C. Barros:
  A survey of evolutionary algorithms for supervised ensemble learning. Knowl. Eng. Rev. 38: e1 (2023)
• 
  Md. Abdullah Al Mahbub, Li Shan, Haibiao Zheng:
  Uncoupling evolutionary groundwater-surface water flows: stabilized mixed methods in both porous media and fluid regions. Numer. Algorithms 92(3): 1837-1874 (2023)
• 
  Heesang Kim, Dohoon Kim:
  A Taxonomic Hierarchy of Blockchain Consensus Algorithms: An Evolutionary Phylogeny Approach. Sensors 23(5): 2739 (2023)
• 
  Gilberto Rivera, Laura Cruz Reyes, Eduardo Fernández-González, Claudia Gómez Santillán, Nelson Rangel-Valdez, Carlos A. Coello Coello:
  An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences. Swarm Evol. Comput. 76: 101211 (2023)
• 
  Jakob Bossek, Dirk Sudholt:
  Do additional target points speed up evolutionary algorithms? Theor. Comput. Sci. 950: 113757 (2023)
• 
  Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang:
  Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences. Theor. Comput. Sci. 943: 241-266 (2023)
• 
  Dominik Sobania, Dirk Schweim, Franz Rothlauf:
  A Comprehensive Survey on Program Synthesis With Evolutionary Algorithms. IEEE Trans. Evol. Comput. 27(1): 82-97 (2023)
• 
  António Gaspar-Cunha, Paulo Costa, Francisco José Monaco, Alexandre C. B. Delbem:
  Scalability of Multi-objective Evolutionary Algorithms for Solving Real-World Complex Optimization Problems. EMO 2023: 86-100
• 
  Julia Heise, Sanaz Mostaghim:
  Online Learning Hyper-Heuristics in Multi-Objective Evolutionary Algorithms. EMO 2023: 162-175
• 
  Hisao Ishibuchi, Yang Nan, Lie Meng Pang:
  Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. EMO 2023: 333-347
• 
  Sebastian Mai, Tobias Benecke, Sanaz Mostaghim:
  MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. EMO 2023: 305-318
• 
  Krzysztof Michalak:
  Evolutionary Algorithms with Machine Learning Models for Multiobjective Optimization in Epidemics Control. EMO 2023: 435-448
• 
  Nathaniel Haynes, Thuy D. Nguyen, Neil C. Rowe:
  Creating Synthetic Attacks with Evolutionary Algorithms for Proactive Defense of Industrial Control Systems. HICSS 2023: 1684-1693

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