An improved particle swarm optimization based on lévy flight and simulated annealing for high dimensional optimization problem
Particle swarm optimization (PSO) is a simple metaheuristic method to implement with robust performance. PSO is regarded as one of the numerous researchers' most well-studied algorithms. However, two of its most fundamental problems remain unresolved. PSO converges onto the local optimum for hi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
Universitas Ahmad Dahlan
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/98893/7/98893_An%20improved%20particle%20swarm%20optimization.pdf http://irep.iium.edu.my/98893/8/98893_An%20improved%20particle%20swarm%20optimization_Scopus.pdf http://irep.iium.edu.my/98893/ |
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