Multi-group Flower Pollination Algorithm Based on Novel Communication Strategies,ERICDATA高等教育知識庫
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篇名
Multi-group Flower Pollination Algorithm Based on Novel Communication Strategies
並列篇名
Multi-group Flower Pollination Algorithm Based on Novel Communication Strategies
作者 Jeng-Shyang PanJiawen ZhuangHao LuoShu-Chuan Chu
英文摘要
Multi-group Flower Pollination Algorithm (MFPA) based on novel communication strategies was proposed with an eye to the disadvantages of the Flower Pollination Algorithm (FPA), such as tardy convergence rate, inferior search accuracy, and strong local optimum. By introducing a parallel operation to divide the population into some groups, the global search capability of the algorithm was improved. Then three new communication strategies were proposed. Strategy 1 combined highquality pollens of each group for evolution and replaced the old pollens. Strategy 2 let each group’s inferior pollens approaching to the optimal pollen. Strategy 3 was a combination of strategies 1 and 2. Then, experiments on 25 classical test functions show that MFPA based on novel communication strategies has a good global optimization ability, improving the convergence speed and accuracy of the FPA. Thus, we compare MFPA using three strategies with FPA and PSO, its result shows that MFPA is better than FPA and PSO. Finally, we also applied it to two practical problems and achieved a better convergence effect than FPA.
起訖頁 257-269
關鍵詞 Flower pollination algorithmParallel algorithmCommunication strategyFunction optimization
刊名 網際網路技術學刊  
期數 202103 (22:2期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642021032202003  複製DOI
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