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- W2309199102 abstract "We apply the proposed IPSO to four benchmark optimization functions containing unimodal and multimodal functions, and investigate the behavior of IPSO by carrying out the simulation using different the probability of independence. IPSO is compared with various PSO, and from results, we confirm that IPSO can effectively enhance the searching efficiency for the multimodal functions. The results show that it is better that the particles value own information and are sometimes affected by the swarm, instead of being completely dependent on others." @default.
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- W2309199102 date "2010-01-01" @default.
- W2309199102 modified "2023-09-27" @default.
- W2309199102 title "Particle Swarm Optimization with Novel Concept of Complex Network" @default.
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