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Multi-Objective Evolutionary Algorithm Based on Arena Principle and Niche

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Book cover Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

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Abstract

This paper researches the principle of RM-MEDA & MOEA/D, proposes Regularity Model Based Multi-Objective Estimation of Distribution Algorithm and Decomposition Algorithm. In order to solve the problem of Pareto optimal solutions, a new method with Niche Genetic Algorithm, a policy of double elite and a Pareto local search strategy. And use numerical simulation to prove the algorithm is better than NSGA-II.

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References

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Author information

Authors and Affiliations

  1. School of Science, Anhui University of Science and Technology, Huainan, People’s Republic of China

    Jian-Qiu Zhang & Feng Xu

Authors
  1. Jian-Qiu Zhang
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  2. Feng Xu
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Corresponding author

Correspondence to Jian-Qiu Zhang .

Editor information

Editors and Affiliations

  1. School of Science, Anhui University of Science & Technology, Huainan, China

    Zhixiang Yin

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. Anhui University of Science & Technology, Huainan, China

    Xianwen Fang

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© 2013 Springer-Verlag Berlin Heidelberg

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Zhang, JQ., Xu, F. (2013). Multi-Objective Evolutionary Algorithm Based on Arena Principle and Niche. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_34

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  • DOI: https://doi.org/10.1007/978-3-642-37502-6_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

  • eBook Packages: EngineeringEngineering (R0)

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