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Particle swarm optimization (PSO), crow search algorithm (CSA), charged system search algorithm (CSSA) and big-bang big crunch optimization (B-BBCO) - Optimization methods – A critical review.
- Source :
- AIP Conference Proceedings; 2022, Vol. 2670 Issue 1, p1-8, 8p
- Publication Year :
- 2022
-
Abstract
- This dissertation concentrates on the application of non-traditional optimization techniques. To solve the optimization problem, the various non-traditional optimization methods are reviewed critically. The methods that are going to review in this survey are Particle Swarm optimization (PSO), Crow Search Algorithm (CSA), Charged system search algorithm (CSSA) and Big-bang big crunch optimization (B-BBCO). These methods are applied to investigate the optimum values. The both linear and non-linear optimization problems are solved to get global solutions. [ABSTRACT FROM AUTHOR]
- Subjects :
- PARTICLE swarm optimization
MATHEMATICAL optimization
NONLINEAR equations
Subjects
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2670
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 160625615
- Full Text :
- https://doi.org/10.1063/5.0117138