PMID: 8942053Jan 1, 1995Paper

Coevolutionary computation

Artificial Life
J Paredis

Abstract

This article proposes a general framework for the use of coevolution to boost the performance of genetic search. It combines coevolution with yet another biologically inspired technique, called lifetime fitness evaluation (LTFE). Two unrelated problems--neural net learning and constraint satisfaction--are used to illustrate the approach. Both problems use predator-prey interactions to boost the search. In contrast with traditional "single population" genetic algorithms (GAs), two populations constantly interact and co-evolve. However, the same algorithm can also be used with different types of co-evolutionary interactions. As an example, the symbiotic coevolution of solutions and genetic representations is shown to provide an elegant solution to the problem of finding a suitable genetic representation. The approach presented here greatly profits from the partial and continuous nature of LTFE. Noise tolerance is one advantage. Even more important, LTFE is ideally suited to deal with coupled fitness landscapes typical for coevolution.

Citations

Nov 12, 2002·Neural Networks : the Official Journal of the International Neural Network Society·N García-PedrajasJ Muñoz-Pérez
Jan 29, 2000·International Journal of Neural Systems·D ShiD S Yeung
May 20, 2011·Evolutionary Computation·Gul Muhammad KhanDavid M Halliday
Feb 14, 2006·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Jing LiuLicheng Jiao
Apr 7, 2015·International Journal of Neural Systems·Pablo MesejoAna B Porto-Pazos
Jan 1, 1997·Evolutionary Computation·D E Moriarty, R Miikkulainen
Mar 29, 2007·Evolutionary Computation·Edwin D de Jong
Jan 1, 1997·Evolutionary Computation·L Pagie, P Hogeweg
Sep 8, 2004·Bio Systems·Assaf Zaritsky, Moshe Sipper
Jun 23, 2004·Annals of the New York Academy of Sciences·Carlos Andrés Peña-Reyes
Jun 10, 2010·Theory in Biosciences = Theorie in Den Biowissenschaften·Luís Correia

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