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In this paper, a neighborhood mutation strategy is proposed and integrated with various niching differential evolution (DE) algorithms to solve multimodal optimization problems. Although variants of DE are highly effective in locating a single global optimum, no DE variant performs competitively when solving multi-optima problems. In the proposed neighborhood based differential evolution, the mutation...
Multi-modal optimization refers to locating not only one optimum but a set of locally optimal solutions. Niching is an important technique to solve multi-modal optimization problems. The ability of discover and maintain multiple niches is the key capability of these algorithms. In this paper, differential evolution with an ensemble of restricted tournament selection (ERTS-DE) algorithm is introduced...
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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