Titlebook: Evolutionary Multi-Criterion Optimization; Third International Carlos A. Coello Coello,Arturo Hernández Aguirre,E Conference proceedings 2

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overshadow

Recombination of Similar Parents in EMO Algorithms flowshop scheduling problems using the NSGA-II algorithm. We focus on the relation between the performance of the NSGA-II algorithm and the similarity of recombined parent solutions. First we show the necessity of crossover operations through computational experiments with various specifications of

用肘

https://doi.org/10.1007/978-94-017-8709-3imed at improving the speed of convergence beyond a parallel island MOEA with migration. We also suggest a clustering based parallelization scheme for MOEAs and compare it to several alternative MOEA parallelization schemes on multiple standard multi-objective test functions.

喊叫

ICLE

A realistic role for experiment of the Pareto set. Then, we present an original hybridization with Path Relinking algorithm, in order to intensify the search between solutions obtained by the first approach. Results obtained are promising and show that cooperation between these optimization methods could be efficient for Pareto optimization.

CYN

G. Rossi,G. Madrussani,A. L. Vesnaverg initial populations into existing MOEAs based on so-called Pareto-Front-Arithmetics (PFA). We will provide experimental results from the field of embedded system synthesis that show the effectiveness of our proposed methodology.

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An Efficient Multi-objective Evolutionary Algorithm: OMOEA-IIrove the performance in robusticity without degrading precision and distribution of solutions. Experimental results show that OMOEA-II can solve problems with high dimensions and large number of local Pareto-optimal fronts better than some existing algorithms recently reported in the literatures.

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