Improved particle swarm optimization by fast annealing algorithm
This paper proposes a hybrid particle swarm optimization with the fast-simulated annealing (PSO-FSA). The proposed algorithm is meant to solve high dimensional optimization problems based on two strategies, which are utilizing the particle swarm optimization to define the global search area and util...
| Main Authors: | Bashath, Samar, Ismail, Amelia Ritahani | 
|---|---|
| Format: | Conference or Workshop Item | 
| Language: | English English  | 
| Published: | 
        
      IEEE    
    
      2019
     | 
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/ http://irep.iium.edu.my/77179/7/77179%20Improved%20Particle%20Swarm.pdf http://irep.iium.edu.my/77179/8/77179%20Improved%20Particle%20Swarm%20SCOPUS.pdf  | 
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