A Survey Of Decomposition Methods For Multi-Objective Optimization

RECENT ADVANCES ON HYBRID APPROACHES FOR DESIGNING INTELLIGENT SYSTEMS(2014)

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摘要
The multi-objective optimization methods are traditionally based on Pareto dominance or relaxed forms of dominance in order to achieve a representation of the Pareto front. However, the performance of traditional optimization methods decreases for those problems with more than three objectives to optimize. The decomposition of a multi-objective problem is an approach that transforms a multi-objective problem into many single-objective optimization problems, avoiding the need of any dominance form. This chapter provides a short review of the general framework, current research trends and future research topics on decomposition methods.
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关键词
decomposition methods,optimization,multi-objective
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