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4 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Adaptive Control of the Number of Crossed Genes in Many-Objective Evolutionary Optimization

    To realize effective genetic operation in evolutionary many-objective optimization, crossover controlling the number of crossed genes (CCG) has been proposed. CCG controls the number of crossed genes by using ...

    Hiroyuki Sato, Carlos A. Coello Coello… in Learning and Intelligent Optimization (2012)

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    Chapter and Conference Paper

    A Study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many-Objective Optimization

    Multi-objective evolutionary algorithms are increasingly being investigated to solve many-objective optimization problems. However, most algorithms recently proposed for many-objective optimization cannot find...

    Naoya Kowatari, Akira Oyama, Hernán E. Aguirre… in Learning and Intelligent Optimization (2012)

  3. No Access

    Chapter and Conference Paper

    Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs

    This work proposes a method to control the dominance area of solutions in order to induce appropriate ranking of solutions for the problem at hand, enhance selection, and improve the performance of MOEAs on co...

    Hiroyuki Sato, Hernán E. Aguirre… in Evolutionary Multi-Criterion Optimization (2007)

  4. No Access

    Chapter and Conference Paper

    Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes

    This work focuses on the working principles, behavior, and performance of state of the art multiobjective evolutionary algorithms (MOEAs) on discrete search spaces by using MNK-Landscapes. Its motivation comes...

    Hernán E. Aguirre, Kiyoshi Tanaka in Evolutionary Multi-Criterion Optimization (2005)