New PDF release: Artificial Evolution: 4th European Conference, AE'99

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

ISBN-10: 3540678468

ISBN-13: 9783540678465

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

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

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N} denoting the sets of resources and items, respectively. The MKP is a prominent example for an NP-complete combinatorial optimization problem with a wide range of applications [4]. Therefore, many exact and heuristic algorithms have been developed for the MKP and diverse variants of it [2,15], and in particular several EAs were proposed [7]. Since it is difficult to analyze even simple EAs using direct encoding and primitive operators, most approaches to characterize locality are based on empirical rather than theoretical investigations.

Both R and R∗ exhibit a clearly better quality than C and C∗ , since the LP heuristic prefers items with high profit and low resource demands. This results in selecting more profitable items and including more items (see the average Hamming weight), due to the more efficient use of resources. These profitable items have an interesting effect on the average Hamming weight: R∗ and even R produce solutions with higher Hamming weight than C∗ , although C∗ guarantees to reach B and R has a much lower boundary ratio.

292 instance, yielding 90 runs for each problem size and 810 runs for each EA. The approaches are characterized by their order heuristic (pseudo-utility ratio, LP optimum), initialization routine (C, C∗ , R, R∗ ), optimization strategy (optimize all individuals, optimize repaired individuals) and degree of nondeterminism (ph ). Note that the original EA from Chu and Beasley uses the pseudo-utility ratio and C, while Raidl’s EA employs the LP optimum and R; both EAs are based on ph = 1 and optimizing all individuals.

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Artificial Evolution: 4th European Conference, AE'99 Dunkerque, France, November 3-5, 1999 Selected Papers by Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton, Edmund Ronald, Marc Schoenauer


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