Multi-objective differential evolution with self-navigation
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
Pages | 508-513 |
Publication status | Published - 2012 |
Publication series
Name | |
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ISSN (Print) | 1062-922X |
Conference
Title | 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 |
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Place | Korea, Republic of |
City | Seoul |
Period | 14 - 17 October 2012 |
Link(s)
Abstract
Traditional differential evolution (DE) mutation operators explore the search space with no considering the information about the search directions, which results in a purely stochastic behavior. This paper presents a DE variant with self-navigation ability for multi-objective optimization (MODE/SN). It maintains a pool of well designed DE mutation operators with distinct search behaviors and applies them in an adaptive way according to the feedback information from the optimization process. Moreover, we deploy the neural network, which is trained by the extreme learning machine, for mapping an artificially generated solution in the objective space back into the decision space. Empirical results demonstrate that MODE/SN outperforms several state-of-the-art algorithms on a set of benchmark problems with variable linkages. © 2012 IEEE.
Research Area(s)
- Differential evolution, multi-objective evolutionary algorithm (MOEA), neural network
Citation Format(s)
Multi-objective differential evolution with self-navigation. / Li, Ke; Kwong, Sam; Wang, Ran et al.
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2012. p. 508-513 6377775.
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2012. p. 508-513 6377775.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review