Titlebook: Evolutionary Multi-Criterion Optimization; First International Eckart Zitzler,Lothar Thiele,David Corne Conference proceedings 2001 Spring

轉(zhuǎn)向

https://doi.org/10.1007/978-1-4684-4208-3te the initial population of the micro-GA. Our approach is tested with several standard functions found in the specialized literature. The results obtained are very encouraging, since they show that this simple approach can produce an important portion of the Pareto front at a very low computational cost.

BOOM

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The Lebedev Physics Institute Seriesso effects of the number of objective functions are treated. We also analyze the influence of the number of objectives and the relevance of these results in the context of the 1/5 rule, a mutation control concept for scalar evolutionary algorithms which cannot easily be transformed into the multiobjective case.

漫不經(jīng)心

Cholagogue

Bernhard Kittel,Kamil Marcinkiewicz the MOMGA through the reduction of computational bottle-necks. Similar statistical results have been obtained using the MOMGA-II as compared to the results of the original MOMGA as well as those obtained by other MOEAs as tested with standard generic MOP test suites.