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A dynamic inertia weight particle swarm optimization algorithm
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资源说明：Particle swarm optimization (PSO) algorithm has been developing rapidly and has been applied widely since it was
introduced, as it is easily understood and realized. This paper presents an improved particle swarm optimization algorithm
(IPSO) to improve the performance of standard PSO, which uses the dynamic inertia weight that decreases
according to iterative generation increasing. It is tested with a set of 6 benchmark functions with 30, 50 and 150 different
dimensions and compared with standard PSO. Experimental results indicate that the IPSO improves the search performance
on the benchmark functions significantly.
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