Quantum-behaved Flower Pollination Algorithm

摘要：

　　Flower Pollination algorithm(FPA)is a new natureinspired algorithm,based on the characteristics of flowering plants.In this paper,a new hybrid optimization method called quantum-behaved flower pollination algorithm(QFPA)is proposed.The method combines the standard Flower Pollination algorithm(FPA)with the quantum-behaved search mechanism to improve the global searching ability and accuracy.The simulation experiments show that the proposed QFPA algorithm can improve the convergence speed and the quality of solutions effectively.

关键词： flower pollination algorithm quantum-behaved search mechanism optimization

作者: Kezhong Lu Haibo Li

作者单位: Department of Computer Science Chizhou University Chizhou,China Institute of things engineering Wuxi Institute of Commerce Wuxi,China

会议类型: 国际会议

会议名称: The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

会议地点: 贵阳

会议语种:英文

页码: 66-69

在线出版日期: 2015-08-18（万方平台首次上网日期，不代表论文的发表时间）