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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...

詳細記述

保存先:
書誌詳細
主要な著者: Jorge Gálvez, Erik Cuevas, Omar Avalos
フォーマット: Artigo
言語:Inglês
出版事項: Springer 2017-01-01
シリーズ:International Journal of Computational Intelligence Systems
主題:
オンライン・アクセス:https://www.atlantis-press.com/article/25870781/view
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