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A Gradient-Based Search Method for Multi-objective Optimization Problems.
- Source :
-
Information Sciences . Nov2021, Vol. 578, p129-146. 18p. - Publication Year :
- 2021
-
Abstract
- A gradient-based search method (GBSM) is developed to solve multi-objective optimization problems. It uses the multi-objective gradient information to construct descent directions, i.e., Pareto descent directions (PDDs), to accelerate the convergence. In addition, a multi-objective evolutionary algorithm based on decomposition is adopted to improve the diversity. The comparisons between GBSM with several selected multi-objective evolutionary algorithms and gradient based algorithms on benchmark functions indicate that the proposed method performs competitively and effectively. [ABSTRACT FROM AUTHOR]
- Subjects :
- *EVOLUTIONARY algorithms
*GENEALOGY
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 00200255
- Volume :
- 578
- Database :
- Academic Search Index
- Journal :
- Information Sciences
- Publication Type :
- Periodical
- Accession number :
- 152901067
- Full Text :
- https://doi.org/10.1016/j.ins.2021.07.051