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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 ...
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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...
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Chapter and Conference Paper
Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization
In this work, we analyze genetic diversity of Pareto optimal solutions (POS) and study effective crossover operators in evolutionary many-objective optimization. First we examine the diversity of genes in the ...
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Chapter and Conference Paper
Genetic Algorithms on NK-Landscapes: Effects of Selection, Drift, Mutation, and Recombination
Empirical studies have shown that the overall performance of random bit climbers on NK-Landscapes is superior to the performance of some simple and enhanced GAs. Analytical studies have also lead to suggest th...
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Chapter and Conference Paper
Halftone Image Generation with Improved Multiobjective Genetic Algorithm
A halftoning technique that uses a simple GA has proven to be very effective to generate high quality halftone images. Recently, the two major drawbacks of this conventional halftoning technique with GAs, i.e....