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Improved multi-objective hybrid differential evolution algorithm.
- Source :
-
Application Research of Computers / Jisuanji Yingyong Yanjiu . May2014, Vol. 31 Issue 5, p1332-1335. 4p. - Publication Year :
- 2014
-
Abstract
- By using the differential evolution algorithm (DE) to solve multi-objective optimization problems, this paper proposed a Pareto optimal solution migration based differential evolution for multi-objective optimization (PSDEMO) to guarantee the diversity of Pareto optimal solution. It adopted the elitist strategy in the algorithm, and archived Pareto non-dominance solutions found in the evolution operation dynamically with the evolution process. In addition, it used all the non-dominance solutions in the archive to do migration operation after mutation and crossover operation of DE to increase the number and quality of non-dominated solutions. Compared with standard DE, simulation results show that the PSDEMO not only helps to improve the quantity of the Pareto non-dominance solution, but also has good balance keeping ability between the diversity and convergence. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 10013695
- Volume :
- 31
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- Application Research of Computers / Jisuanji Yingyong Yanjiu
- Publication Type :
- Academic Journal
- Accession number :
- 95780836
- Full Text :
- https://doi.org/10.3969/j.issn.1001-3695.2014.05.011