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Title: The cooperative royal road: Avoiding Hitchhiking
Authors: Ochoa, Gabriela
Lutton, Evelyne
Burke, Edmund
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Editors: Monmarche, N
Talbi, E.-G
Collet, P
Schoenauer, M
Lutton, E
Citation: Ochoa G, Lutton E & Burke E (2008) The cooperative royal road: Avoiding Hitchhiking. In: Monmarche N, Talbi E.-G, Collet P, Schoenauer M, Lutton E (ed.). 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.
Issue Date: 2008
Publisher: Springer
Series/Report no.: Lecture Notes in Computer Science, 4926
Abstract: We 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.
Rights: The 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.
Type: Part of book or chapter of book
Affiliation: Computing Science - CSM Dept
INRIA Rocquencourt, France
Computing Science and Mathematics

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