求解ICPT电源规划问题的改进混合蛙跳算法

针对城市电气化交通车辆的供电解决方案，提出一种感应耦合电能接入模式，并从电源技术方案、电源布局等方面对该供电模式展开研究。为了以最低的成本实现城市电气化交通车辆的感应耦合供电，提出了一种基于变尺度混沌机制混合蛙跳算法的城市电气化交通车辆的供电系统优化规划，该算法拥有混合蛙跳算法局部搜索和全局信息交换的平衡搜索策略与快速收敛的优点，同时还具有变尺度混沌优化算法能够通过变尺度不断缩小优化变量的搜索范围来实现局部深化寻优的特性。应用该算法得出的最小年综合费用相比混合蛙跳算法优化结果节约2.39%，验证了所提算法的优越性。

A novel shuffled frog leaping algorithm for ICPT power programming

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.