An Enhanced MOGWW for the bi-objective Quadratic Assignment Problem
This paper proposes an enhanced Multi-objective Go with the Winners (MOGWW) algorithm to solve multi-objective combinatorial optimization problems. The original MOGWW algorithm is equipped with the well known Pareto Local Search (PLS) procedure. In order to assess the performance of the hybridizatio...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Springer
2011-08-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/2175.pdf |