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  • A.E. Eiben

Three-fold Adaptivity in Groups of Robots: The Effect of Social Learning

Heinerman, J., Drupsteen, D. & Eiben, A. E., 2015, GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference. Madrid, SP: Association for Computing Machinery, Inc, p. 177-183 7 p.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Open Access
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To evolve or not to evolve? That is the question

Ellery, A. & Eiben, A. E., Jul 2019, ALIFE 2019: Proceedings of the Artificial Life Conference 2019. Fellermann, H., Bacardit, J., Goñi-Moreno, Á. & Füchslin, R. M. (eds.). Massachusetts Institute of Technology, p. 357-364 8 p. (Artificial Life Conference Proceedings; vol. 31).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Open Access

Tudosok es Robotok, sokasodjatok! (Scientists and robots, multiply!)

Eiben, A. E., 11 Oct 2011, In : Nepszabadsag.

Research output: Contribution to JournalArticlePopular

Tuning Evolutionary Algorithms and Tuning Evolutionary Algorithm Controllers

Karafotias, G., Smit, S. K. & Eiben, A. E., 2012, Proceedings of the Fifth International Conference on Bioinspired Optimization Methods and their Applications BIOMA 2012. Filipic, B. & Silc, J. (eds.). Jozef Stefan Institute, p. 3-21

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Tutorials at PPSN 2016

Doerr, C., Bredeche, N., Alba, E., Bartz-Beielstein, T., Brockhoff, D., Doerr, B., Eiben, G., Epitropakis, M. G., Fonseca, C. M., Guerreiro, A., Haasdijk, E., Heinerman, J., Hubert, J., Lehre, P. K., Malagò, L., Merelo, J. J., Miller, J., Naujoks, B., Oliveto, P., Picek, S. & 9 others, Pillay, N., Preuss, M., Ryser-Welch, P., Squillero, G., Stork, J., Sudholt, D., Tonda, A., Whitley, D. & Zaefferer, M., 2016, Parallel Problem Solving from Nature - 14th International Conference, PPSN 2016, Proceedings. Springer/Verlag, Vol. 9921 LNCS. p. 1012-1022 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9921 LNCS).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Unsupervised Identification and Recognition of Situations for High-Dimensional Sensori-Motor Streams

Heinerman, J. V., Haasdijk, E. & Eiben, A. E., 1 Nov 2017, In : Neurocomputing. 262, p. 90-107 18 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Using scalable vector graphics to evolve art

den Heijer, E. & Eiben, A. E., 2016, In : International Journal of Arts and Technology. 9, 1, p. 59-85 27 p.

Research output: Contribution to JournalArticleAcademicpeer-review

Open Access

Why Parameter Control Mechanism Should Be Benchmarked Against Random Variation

Karafotias, G., Hoogendoorn, M. & Eiben, A. E., 2013, Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2013. IEEE, p. 349-355

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Why parameter control mechanisms should be benchmarked against random variation

Karafotias, G., Hoogendoorn, M. & Eiben, A. E., 2013, Proceedings of the 2013 IEEE Congress on Evolutionary Computation. p. 349-355

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review