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The Research and Summary of Evolutionary Multi-objective Optimization Algorithm

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Intelligence Computation and Evolutionary Computation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 180))

Abstract

Evolutionary multi-objective optimization mainly studies how to use evolutionary calculation method to solve the multi-objective optimization problem.it has become a hot research topic in the field of evolutionary computation. however, multi-objective evolutionary algorithm based on the concept of Pareto optimal is the research hotspot of current evolutionary calculation. Based on the comparison and analysis of multi-objective optimization evolutionary algorithm. Introduce some major technology and the theoretical results of multi-objective evolutionary algorithm which is based on the concept of Pareto optimal .

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Jingqi, X. (2013). The Research and Summary of Evolutionary Multi-objective Optimization Algorithm. In: Du, Z. (eds) Intelligence Computation and Evolutionary Computation. Advances in Intelligent Systems and Computing, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31656-2_72

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  • DOI: https://doi.org/10.1007/978-3-642-31656-2_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31655-5

  • Online ISBN: 978-3-642-31656-2

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