A Robust Hybrid Restarted Simulated Annealing Particle Swarm Optimization Technique
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| Title | A Robust Hybrid Restarted Simulated Annealing Particle Swarm Optimization Technique |
| Authors | |
| Abstract | Global optimization is a hot topic of applied mathematics and numerical analysis that deals with the optimization of a function or a set of functions. In this paper we proposed a hybrid restarted simulated annealing particle swarm optimization (RSAPSO) technique to find global minima more efficiently and robustly. The proposed RSAPSO combines the global search ability of PSO and the local search ability of RSA, and offsets the weaknesses of each other. The four benchmark functions demonstrate the superiority of our algorithm. |
| Publisher | World Science Publisher |
| Date | 2012-01-05 |
| Source | 2166-2924 |
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