【摘要】 结合逐次优化、禁忌搜索和变尺度混沌优化方法的优点,提出了一种混合混沌优化方法。该方法具有逐次优化算法的隐性并行性和收敛性,禁忌搜索的智能性和变尺度混沌优化方法的快速性。仿真计算表明,该方法具有实现简单,优化效率高,鲁棒性强等特点。更多还原

【Abstract】 Based on the analysis of the properties of progressive optimality algorithm(POA),tabu search(TS) and mutative scale chaos optimization algorithm(MSCOA),a hybrid chaos optimization algorithm was presented. The algorithm has not only the implicit parallelism,global convergence of POA and the intelligence of tabu search,but also the fast convergence of MSCOA. The simulation results show that the algorithm,which has characters of simple,optimization efficiency and strong robustness etc. is a powerful technique to solve larger-scale nonlinear programming problems.更多还原