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A new amelioration Particle Swarm Optimization (SARPSO) based on simulated annealing (SA), asynchronously changed learning genes (ACLG) and roulette strategy was proposed because the classical Particle Swarm Optimization (PSO) algorithm was easily plunged into local minimums. SA had the ability of probability mutation in the search process, by which the search processes of PSO plunging into local...
This paper proposes an image matching method based on hybrid PSO. The method combines the advantage of the rapid global optimization ability of PSO, and introduces the idea of Population Category Evolution and the mechanism of SA to improve itself. Adopting different evolutionary strategies for different particle categories and making the individual optimal value of the particle accept a lower value...
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