Fate agent evolutionary algorithms with self-adaptive mutation

Autor: Agoston E. Eiben, Arthur Ervin Avramiea, Giorgos Karafotias

Publikováno v: GECCO (Companion)

Fate Agent EAs form a novel flavour or subclass in EC. The idea is to decompose the main loop of traditional evolutionary algorithms into three independently acting forces, implemented by the so-called Fate Agents, and create an evolutionary process

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e29195b7162e3a1147d256cfe89b3930
https://doi.org/10.1145/2598394.2598497

Comparing Generic Parameter Controllers for EAs

Autor: Giorgos Karafotias, Berend Weel, Mark Hoogendoorn

Publikováno v: IEEE Symposium Series on Computational Intelligence (SSCI '14), 46-53
STARTPAGE=46;ENDPAGE=53;TITLE=IEEE Symposium Series on Computational Intelligence (SSCI '14)
FOCI
Karafotias, G & Hoogendoorn, M 2014, Comparing Generic Parameter Controllers for EAs . in IEEE Symposium Series on Computational Intelligence (SSCI '14) . IEEE, pp. 46-53 . https://doi.org/10.1109/FOCI.2014.7007806

Parameter controllers for Evolutionary Algorithms (EAs) deal with adjusting parameter values during an evolutionary run. Many ad hoc approaches have been presented for parameter control, but few generic parameter controllers exist and, additionally,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::126639e45e7d0bc337f62f47fa636ac8
https://research.vu.nl/en/publications/5a5ca3d5-7020-4a3d-908a-3b382309b6da

Parameter control: strategy or luck?

Autor: Mark Hoogendoorn, Giorgos Karafotias, Agoston E. Eiben

Publikováno v: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion (GECCO-2013-Companion), 215-216
STARTPAGE=215;ENDPAGE=216;TITLE=Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion (GECCO-2013-Companion)
Karafotias, G, Hoogendoorn, M & Eiben, A E 2013, Parameter control: strategy or luck? in Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion (GECCO-2013-Companion) . pp. 215-216 .
GECCO (Companion)

Parameter control mechanisms in evolutionary algorithms (EAs) dynamically change the values of the EA parameters during a run. Research over the last two decades has delivered ample examples where an EA using a parameter control mechanism outperforms

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84d56bbb8f2ed68d151980800f3446e7
https://research.vu.nl/en/publications/052eb8f5-38f9-4f1b-b256-3c416a6d0f95

It’s Fate: A Self-organising Evolutionary Algorithm

Autor: Jan Bím, Agoston E. Eiben, S.K. Smit, Giorgos Karafotias, Evert Haasdijk

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642329630
PPSN (2)

We introduce a novel evolutionary algorithm where the centralized oracle ---the selection-reproduction loop--- is replaced by a distributed system of Fate Agents that autonomously perform the evolutionary operations. This results in a distributed, si

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0b7a5165e4b5fffab2955f040ba2c64
https://doi.org/10.1007/978-3-642-32964-7_19

On-line evolution of robot controllers by an encapsulated evolution strategy

Autor: Agoston E. Eiben, Giorgos Karafotias, Evert Haasdijk

Publikováno v: Haasdijk, E W, Eiben, A E & Karafotias, G 2010
evolution of robot controllers by an encapsulated evolution strategy . in Proceedings of the 2010 IEEE Congress on Evolutionary Computation .
IEEE Congress on Evolutionary Computation
Proceedings of the 2010 IEEE Congress on Evolutionary Computation

This paper describes and experimentally evaluates the viability of the (µ +1) ON-LINE evolutionary algorithm for on-line adaptation of robot controllers. Secondly, it explores the parameter space for this algorithm and identifies four important para

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acc8550545d18f912304639561b3db8b
https://research.vu.nl/en/publications/c8d8856e-ca26-4b02-bc42-93b66a1105c1