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A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search.
- Source :
- Central European Journal of Operations Research; Dec2017, Vol. 25 Issue 4, p859-878, 20p
- Publication Year :
- 2017
-
Abstract
- Incorporation of a decision maker's preferences into multi-objective evolutionary algorithms has become a relevant trend during the last decade, and several preference-based evolutionary algorithms have been proposed in the literature. Our research is focused on improvement of a well-known preference-based evolutionary algorithm R-NSGA-II by incorporating a local search strategy based on a single agent stochastic approach. The proposed memetic algorithm has been experimentally evaluated by solving a set of well-known multi-objective optimization benchmark problems. It has been experimentally shown that incorporation of the local search strategy has a positive impact to the quality of the algorithm in the sense of the precision and distribution evenness of approximation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1435246X
- Volume :
- 25
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Central European Journal of Operations Research
- Publication Type :
- Academic Journal
- Accession number :
- 125695463
- Full Text :
- https://doi.org/10.1007/s10100-016-0443-x