Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization

Miqing Li; Jinhua Zheng; Ke Li; Qizhao Yuan; Ruimin Shen

doi:10.1007/978-3-642-15844-5_65

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Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization

Miqing Li Jinhua Zheng Ke Li Qizhao Yuan Ruimin Shen

Year: 2010 Pages: 647-656

DOI: 10.1007/978-3-642-15844-5_65

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Keywords:

Ranking (information retrieval) Convergence (economics) Mathematical optimization Multi-objective optimization Selection (genetic algorithm) Computer science Set (abstract data type) Diversity (politics) Pareto principle Process (computing) Evolutionary algorithm Grid Mathematics Artificial intelligence Economics

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Topology Optimization in Engineering

Physical Sciences → Engineering → Civil and Structural Engineering

Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization

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