- Stéphane Doncieux, Alexandre Coninx:
Open-ended evolution with multi-containers QD. GECCO (Companion) 2018: 107-108 - Wei Du, Le Tong, Yang Tang:
A framework for high-dimensional robust evolutionary multi-objective optimization. GECCO (Companion) 2018: 1791-1796 - Samuel Ebert, Effat Farhana, Steffen Heber:
A parallel island model for biogeography-based classification rule mining in julia. GECCO (Companion) 2018: 1284-1291 - Tome Eftimov, Peter Korosec:
The impact of statistics for benchmarking in evolutionary computation research. GECCO (Companion) 2018: 1329-1336 - Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
Deep statistical comparison of meta-heuristic stochastic optimization algorithms. GECCO (Companion) 2018: 15-16 - Khouloud Eledlebi, Dymitr Ruta, Fabrice Saffre, Yousof Al-Hammadi, A. F. Isakovic:
Autonomous deployment of mobile sensors network in an unknown indoor environment with obstacles. GECCO (Companion) 2018: 280-281 - Andries P. Engelbrecht, Christopher Wesley Cleghorn:
Particle swarm optimization: a guide to effective, misconception free, real world use. GECCO (Companion) 2018: 831-857 - Juan José Escobar, Julio Ortega, Antonio Francisco Díaz, Jesús González, Miguel Damas:
Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters. GECCO (Companion) 2018: 1862-1869 - Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek Tudruj:
Effective processor load balancing using multi-objective parallel extremal optimization. GECCO (Companion) 2018: 1292-1299 - Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Towards a more general many-objective evolutionary optimizer using multi-indicator density estimation. GECCO (Companion) 2018: 1890-1893 - Valerie Fehst, Huu Chuong La, Tri-Duc Nghiem, Ben E. Mayer, Paul Englert, Karl-Heinz Fiebig:
Automatic vs. manual feature engineering for anomaly detection of drinking-water quality. GECCO (Companion) 2018: 5-6 - Michael Fenton, David Lynch, David Fagan, Stepán Kucera, Holger Claussen, Michael O'Neill:
Towards automation & augmentation of the design of schedulers for cellular communications networks. GECCO (Companion) 2018: 17-18 - Carlos M. Fernandes, Agostinho C. Rosa, Nuno Fachada, Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós:
Particle swarm and population structure. GECCO (Companion) 2018: 85-86 - Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-learning by the baldwin effect. GECCO (Companion) 2018: 109-110 - Chrisantha Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu:
Meta-learning by the Baldwin effect. GECCO (Companion) 2018: 1313-1320 - Jonathan E. Fieldsend:
Computationally efficient local optima network construction. GECCO (Companion) 2018: 1481-1488 - Bogdan Filipic, Tea Tusar:
Visualization in multiobjective optimization. GECCO (Companion) 2018: 858-879 - Kousuke Fujimoto, Kei Ohnishi, Tomohiro Yoshikawa:
The human-based evolutionary computation system enabling us to follow the solution evolution. GECCO (Companion) 2018: 39-40 - Masaki Fujiwara, Masaharu Munetomo:
A surrogate-assisted selection scheme for genetic algorithms employing multi-layer neural networks. GECCO (Companion) 2018: 41-42 - Makoto Fukumoto, Kota Nomura:
A proposal for distributed interactive differential evolution: in a case of creating sign sounds for multiple users. GECCO (Companion) 2018: 125-126 - Hiroaki Fukumoto, Akira Oyama:
Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problem. GECCO (Companion) 2018: 177-178 - Milen Georgiev, Ivan Tanev, Katsunori Shimohara:
Coevolving behavior and morphology of simple agents that model small-scale robots. GECCO (Companion) 2018: 1576-1583 - Milen Georgiev, Ivan Tanev, Katsunori Shimohara:
Exploration of the effect of uncertainty in homogeneous and heterogeneous multi-agent societies with regard to their average characteristics. GECCO (Companion) 2018: 1797-1804 - Dave Goldberg:
Shift your research & laboratory into higher gear with 3 shift skills & 4 smooth rules. GECCO (Companion) 2018: 415-420 - José Luis Guerrero, Luis Martí, Nayat Sánchez Pi, Antonio Berlanga, José Manuel Molina:
Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirs. GECCO (Companion) 2018: 1805-1812 - Juan Julián Merelo Guervós:
Cloudy distributed evolutionary computation. GECCO (Companion) 2018: 1138-1140 - Juan Julián Merelo Guervós, José Mario García Valdez:
Mapping evolutionary algorithms to a reactive, stateless architecture: using a modern concurrent language. GECCO (Companion) 2018: 1870-1877 - Juan Julián Merelo Guervós, José Mario García Valdez:
Performance improvements of evolutionary algorithms in perl 6. GECCO (Companion) 2018: 1371-1378 - David Ha:
Neuroevolution for deep reinforcement learning problems. GECCO (Companion) 2018: 421-431 - Xin-Chi Han, Hao-Wen Ke, Yue-Jiao Gong, Ying Lin, Wei-Li Liu, Jun Zhang:
Multimodal optimization of traveling salesman problem: a niching ant colony system. GECCO (Companion) 2018: 87-88