重庆大学学报：自然科学版2012，Vol.35Issue(6)：105-111,7.
求解ICPT电源规划问题的改进混合蛙跳算法
A novel shuffled frog leaping algorithm for ICPT power programming
摘要
Abstract
A new mode of inductively coupled power transfer（ICPT） is presented to city electrization traffic vehicle power supply optimization.The power supply distribution plan and ICPT technology are investigated.To avoid the local optimal of shuffled frog leaping algorithm（SFLA）,a novel algorithm based on mutative scale chaos search and SFLA is presented.It is applied to inductively coupled power transfer substation optimal planning.The advantages of global and local search strategies for SFLA are combined with the proposed algorithm.In order to implement local refined search to improve local chaotic search ability and to enhance the solution accuracy,mutative scale chaos search is introduced to the proposed algorithm.The minimum annual expense of the proposed algorithm is 2.39% less than that of SFLA,which shows its advantage.关键词
感应耦合电能传输/配电系统/混合蛙跳算法/变尺度混沌算法/非线性规划Key words
inductively coupled power transfer/power supply systems/shuffled frog leaping algorithm/mutative scale chaos optimization algorithm/nonlinear programming分类
信息技术与安全科学引用本文复制引用
杨芳勋,孙跃,夏晨阳..求解ICPT电源规划问题的改进混合蛙跳算法[J].重庆大学学报：自然科学版,2012,35(6):105-111,7.基金项目
中央高校基本科研业务费资助项目 （）
重庆市科委攻关项目 （）
