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2017 | OriginalPaper | Chapter

Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems

Authors : Marie-Eléonore Kessaci-Marmion, Clarisse Dhaenens, Jérémie Humeau

Published in: Evolutionary Multi-Criterion Optimization

Publisher: Springer International Publishing

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Abstract

In multi-objective optimization approaches, considering neutral neighbors during the exploration has already proved its efficiency. The aim of this article is to go further in the comprehensibility of neutrality. In particular, we propose a definition of most promising neutral neighbors and study in details their distribution within neutral neighbors. As the correlation between objectives has an important impact on neighbors distribution, it will be studied. Three permutation problems are used as case studies and conclusions about neutrality encountered in these problems are provided.

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Footnotes
1
The interval has been chosen as the famous instances proposed by the \(8^{th}\) DIMACS challenge (see http://​dimacs.​rutgers.​edu/​Challenges/​TSP/​).
 
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Metadata
Title
Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems
Authors
Marie-Eléonore Kessaci-Marmion
Clarisse Dhaenens
Jérémie Humeau
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-54157-0_24

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