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    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)