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 ecu convention on synthetic Evolution, AE '99, held in Dunkerque, France, November 3-5, 1999. a number of the significant subject matters mentioned on the convention comprise genetic operators and theoretical types, 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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The other EAs perform quite well compared to OREA, so they should also provide locality. The best quality is obtained by SREA, probably due to the employed heuristic. LREA achieves the lowest DR, however PBEA and SREA also yield an acceptable DR which is an order of magnitude smaller than that of OREA. html Characterizing Locality in Decoder-Based EAs 43 and LREA mostly generate new solutions. In general, we consider PBEA, SREA, and LREA to be well adapted to the MKP, in contrast to OREA which is viewed as an example for a badly designed decoder-based EA.

E. 1 − maxEA /optLP with maxEA and optLP denoting the best objective value found by the EA and the optimal value of the LP relaxation of MKP, respectively. Table 1 shows average results determined from the 9 runs per m, ncombination and EA. The duplicate ratio (DR) represents the ratio of rejected duplicates among all generated solutions. As expected, OREA yields the worst gap. Furthermore, the high DR indicates that the used operators tend to produce many duplicates. The other EAs perform quite well compared to OREA, so they should also provide locality.

2 have been tested in 100 runs for each instance, yielding 3000 runs for each problem size, and are compared in Table 1 concerning different measures. The obtained quality is represented by the percentage gap (see Sect. 1). While the average Hamming distance characterizes the population diversity, the average Hamming weight can be used as a measure for the distance of the population from B: A higher value indicates a smaller average distance to B. It should be remarked that only similar methods should be compared by this measure in this sense, since the boundary usually contains solutions with different Hamming weights (see Fig.

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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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