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A self-adaptive dynamic multi-swarm particle swarm optimizer (sDMS-PSO) is proposed. In PSO, three parameters should be given experimentally or empirically. While in the sDMS-PSO a self-adaptive strategy of parameters is embedded. One or more parameters are assigned to different swarms adaptively. In a single swarm, through specified iterations, the parameters achieving the maximum number of renewal...
In real world optimization, many problems are not only target on finding one global peak, but also multiple global/local peaks. These problems are referred as multi-modal optimization problems. Various techniques that commonly known as niching are proposed to solve multi-modal problems. Species-based differential evolution (SDE) is one of the recent algorithms that use the notion of speciation for...
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