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Differential gradient evolution plus algorithm for constraint optimization problems: A hybrid approach.
- Source :
-
International Journal of Optimization & Control: Theories & Applications . 2021, Vol. 11 Issue 2, p158-177. 20p. - Publication Year :
- 2021
-
Abstract
- Optimization for all disciplines is very important and applicable. Optimization has played a key role in practical engineering problems. A novel hybrid meta-heuristic optimization algorithm that is based on Differential Evolution (DE), Gradient Evolution (GE) and Jumping Technique named Differential Gradient Evolution Plus (DGE+) are presented in this paper. The proposed algorithm hybridizes the above-mentioned algorithms with the help of an improvised dynamic probability distribution, additionally provides a new shake off method to avoid premature convergence towards local minima. To evaluate the efficiency, robustness, and reliability of DGE+ it has been applied on seven benchmark constraint problems, the results of comparison revealed that the proposed algorithm can provide very compact, competitive and promising performance. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21460957
- Volume :
- 11
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Optimization & Control: Theories & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 151988367
- Full Text :
- https://doi.org/10.11121/ijocta.01.2021.001077