指挥信息系统非线性最优化问题的混沌搜索解法

Chaos Search Approach for Nonlinear Optimization in Command Information System

指挥信息系统进行辅助决策很多情况下是一个求解最优化问题的过程，指挥信息系统遇到的很多问题具有非线性，同时指挥信息系统对算法的适应性和收敛速度要求相当严格。对此，普通的优化技术只能求出局部最优解。基于混沌搜索技术的计算智能具有全局搜索能力强、算法简洁、计算量小、收敛速度快的特点，成为一种求解非线性最优化问题全局最优的有效方法。算例表明，当搜索次数达到一定数量时，混沌搜索方法可以保证算法收敛到全局最优解，且计算效率很高。

The assistant-decision procedure in command information system is often an optimization problem, and command information system needs the algorithm＇ s adaptability and convergence to be powerful and efficient. Chaos optimization method, an intelligent computing approach is proposed to solve nonlinear optimization problems with boundary restraints of variables in command information system. The chaos optimization method is an effective approach to solve nonlinear optimization problems. It has great power to locate global optimum and rapid speed to convergence, pith algorithm and small calculating quantity. The instance indicates, as the search times come to an adequate number, chaos optimization method can guarantee locating global optimum, and the convergence speed is rapid.