混沌优化算法在不可分稳态大系统优化中的应用  

Application of Chaos Optimization Algorithm to Optimization of Nonseparable Steady State for Large Scale Systems

作　　者：李薪宇[1] 康波[1] 吕炳朝[1] 

机构地区：[1]电子科技大学自动化工程学院,四川成都610054

出　　处：《数学的实践与认识》2008年第3期47-50,共4页Mathematics in Practice and Theory

摘　　要：讨论了整体目标函数关于各子系统不具有可加形式的大规模稳态系统的优化问题,将混沌优化算法应用于其最优值的求解,利用混沌运动的遍历性来得到优化问题的全局最优值.仿真结果表明,该算法简单易行,求解精度和可靠性较高,是解决不可分稳态大系统优化问题的一种有效方法.Considered is the nonseparable steady state problem for large scale systems, where the overall objective function is not additive form with respect to subsystems. In order to get the global optimal value by the use of the property of ergodicity of chaos, chaos optimization algorithm is applied into the solution of optimal values, which belong to the nonseparable steady state problem for large scale systems. The simulation results illustrate this method is simple and easy to implement.

关 键 词：稳态大系统 混沌优化 全局最优 

分 类 号：N941.4[自然科学总论—系统科学]