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Remarks on Invariant Method of the Second-Order Linear Differential Equations with Variable Coefficients Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Multi-Objective Evolutionary Algorithm Based on Arena Principle and Niche

Authors : Jian-Qiu Zhang, Feng Xu

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

Publisher: Springer Berlin Heidelberg

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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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Literature
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Coello CAC, Pulido GT (2001) A micro-genetic algorithm for multi-objective optimization. In: Proceedings of first international conference on evolutionary multi-criterion optimization, doi:10.​1007/​3-540-44719-99
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Metadata
Title
Multi-Objective Evolutionary Algorithm Based on Arena Principle and Niche
Authors
Jian-Qiu Zhang
Feng Xu
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Print ISBN: 978-3-642-37501-9

Electronic ISBN: 978-3-642-37502-6

Copyright Year: 2013

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

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