广东工业大学学报2017，Vol.34Issue(6)：15-19,5.DOI:10.12052/gdutxb.170082
一种基于自适应动态规划的协同优化算法
A Cooperative Optimization Algorithm Based on Adaptive Dynamic Programming
摘要
Abstract
If the initial iterative performance index function is a positive semi-definite function,then the value iteration of adaptive dynamic programming will converge to the optimal.This is the convergence condition of value-iteration based adaptive dynamic programming.Based on the condition,the initializing and updating methods for iterative performance index function is studied and a cooperative optimization algorithm based on adaptive dynamic programming is proposed.The simulation results show that the proposed algorithm can rapidly reduce the iteration residuals and greatly improve the convergence rate of adaptive dynamic programming.关键词
自适应动态规划/值迭代/协同优化Key words
adaptive dynamic programming/value iteration/cooperative optimization分类
信息技术与安全科学引用本文复制引用
刘毅,章云..一种基于自适应动态规划的协同优化算法[J].广东工业大学学报,2017,34(6):15-19,5.基金项目
国家自然科学基金资助项目(U1501251,51307025) （U1501251,51307025）
高等学校博士学科点专项科研基金资助项目(20124420130001) （20124420130001）
