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dc.contributor.authorOchoa, Gabrielaen_UK
dc.contributor.authorLutton, Evelyneen_UK
dc.contributor.authorBurke, Edmunden_UK
dc.contributor.editorMonmarche, Nen_UK
dc.contributor.editorTalbi, E.-Gen_UK
dc.contributor.editorCollet, Pen_UK
dc.contributor.editorSchoenauer, Men_UK
dc.contributor.editorLutton, Een_UK
dc.description.abstractWe propose using the so called Royal Road functions as test functions for cooperative co-evolutionary algorithms (CCEAs). The Royal Road functions were created in the early 90's with the aim of demonstrating the superiority of genetic algorithms over local search methods. Unexpectedly, the opposite was found to be true. The research deepened our understanding of the phenomenon of hitchhiking where unfavorable alleles may become established in the population following an early association with an instance of a highly fit schema. Here, we take advantage of the modular and hierarchical structure of the Royal Road functions to adapt them to a co-evolutionary setting. Using a multiple population approach, we show that a CCEA easily outperforms a standard genetic algorithm on the Royal Road functions, by naturally overcoming the hitchhiking effect. Moreover, we found that the optimal number of sub-populations for the CCEA is not the same as the number of components that the function can be linearly separated into, and propose an explanation for this behavior. We argue that this class of functions may serve in foundational studies of cooperative co-evolution.en_UK
dc.relationOchoa G, Lutton E & Burke E (2008) The cooperative royal road: Avoiding Hitchhiking. In: Monmarche N, Talbi E, Collet P, Schoenauer M & Lutton E (eds.) Artificial Evolution: 8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected Papers. Lecture Notes in Computer Science, 4926. Berlin Heidelberg: Springer, pp. 184-195.;
dc.relation.ispartofseriesLecture Notes in Computer Science, 4926en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.titleThe cooperative royal road: Avoiding Hitchhikingen_UK
dc.typePart of book or chapter of booken_UK
dc.rights.embargoreason[Cooperative Royal Road.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.btitleArtificial Evolution: 8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected Papersen_UK
dc.publisher.addressBerlin Heidelbergen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationINRIA Rocquencourt, Franceen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
rioxxterms.typeBook chapteren_UK
local.rioxx.authorOchoa, Gabriela|0000-0001-7649-5669en_UK
local.rioxx.authorLutton, Evelyne|en_UK
local.rioxx.authorBurke, Edmund|en_UK
local.rioxx.projectInternal Project|University of Stirling|
local.rioxx.contributorMonmarche, N|en_UK
local.rioxx.contributorTalbi, E.-G|en_UK
local.rioxx.contributorCollet, P|en_UK
local.rioxx.contributorSchoenauer, M|en_UK
local.rioxx.contributorLutton, E|en_UK
local.rioxx.filenameCooperative Royal Road.pdfen_UK
Appears in Collections:Computing Science and Mathematics Book Chapters and Sections

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