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Flower Pollination Algorithm for Multimodal Optimization

This paper proposes a new algorithm called Multimodal Flower Pollination Algorithm (MFPA). Under MFPA, the original Flower Pollination Algorithm (FPA) is enhanced with multimodal capabilities in order to find all possible optima in an optimization problem. The performance of the proposed MFPA is com...

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Bibliografiska uppgifter
Huvudupphovsmän: Jorge Gálvez, Erik Cuevas, Omar Avalos
Materialtyp: Artigo
Språk:Inglês
Publicerad: Springer 2017-01-01
Serie:International Journal of Computational Intelligence Systems
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Länkar:https://www.atlantis-press.com/article/25870781/view
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