文献类型：期刊文献

英文题名：Minimum time dynamic optimization using double-layer optimization algorithm

作者：Du, Wenli[1,2]; Guo, Xuan[1,2]; Qi, Rongbin[1,2]; Feng, Qian[1,2]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, Shanghai 200237, China; [2] School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

年份：2012

起止页码：84

外文期刊名：Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

收录：EI(收录号：20130415918989)

语种：英文

外文关键词：Evolutionary algorithms - Problem solving - Optimal control systems

摘要：A double-layer optimization algorithm (DLOA) was proposed to solve the minimum time dynamic optimization problem. The first step of DLOA was to discrete time region and control region. The inner optimization is to construct optimal control problem with free final states. Differential evolution algorithm is used to find the optimal solution in given terminal time, then the optimization results was compared with the threshold set. In the outer, DLOA calculated the time range of next iteration according to the inner calculation. When applied to typical minimum time dynamic optimization problem, DLOA demonstrated a competitive optimal searching ability and more accurate optimization results. DLOA could solve the optimization problem with local optimum and applied to models without gradient information. ? 2012 IEEE.