Artificial Evolution: 4th European Conference, AE'99 by Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton, Edmund Ronald,

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By Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton, Edmund Ronald, Marc Schoenauer

The lawsuits of the 4th eu convention on synthetic Evolution, AE '99, held in Dunkerque, France, November 3-5, 1999. a number of the significant issues mentioned on the convention comprise genetic operators and theoretical versions, functions, brokers and cooperation, and heuristics. Softcover.

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Extra info for Artificial Evolution: 4th European Conference, AE'99 Dunkerque, France, November 3-5, 1999 Selected Papers

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By phenotypic duplicate elimination. 1 Introduction Locality is known as an important factor for well-working evolutionary algorithms (EAs) [3,11,14,22]. Although locality can be interpreted in several ways, all interpretations are motivated by the same basic idea: Small changes in genotype performed by evolutionary operators such as mutation and crossover should result in small changes of phenotype, where phenotype is identified by the represented solution or its fitness. EAs which do not fulfill this condition at least partly act like pure random search, hence are not efficient.

Thus the bias towards B strongly affects the success of penalty-based EAs. 2 Direct Search in F Among the alternatives to restrict the search to F are specialized operators ensuring feasibility and repair algorithms, which are very common in EAs for MKP and alter a previously unfeasible solution (produced by crossover and mutation) into a feasible one. Michalewicz and Arabas used a general repair method for KP, which removes items from the current unfeasible solution until the knapsack constraint is satisfied [MA94].

Hence, the bias towards B can be interpreted as a basic requirement for a successful EA application. The best results are obtained for pseudo-utility ratio based ordering, optimizing all individuals, ph = 1, and any initialization method C, C∗ , and R∗ . It should be remarked that new best feasible solutions have been obtained during the EA runs for 114 instances, whose optima are not known, compared to the solutions obtained by Chu and Beasley [Chu97,CB98] and published at OR-Library. We omit a detailed comparison of CPU times for the different approaches, since they are conceptually equivalent (note that one iteration has the complexity O(m · n)), coinciding with Raidl’s observation concerning the computational efforts of his and Chu and Beasley’s EA [Rai98].

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