求多峰函数全部全局最优解的胞腔排除遗传算法

A Cell Excluse Genetic Algorithm for Finding All Globally Optimal Solutions of Multimodal Function

借助胞腔，并利用遗传算法能够最终收敛于非线性多峰函数全局最优解的特点，动态地剖分和排除胞腔，从而构成一种新型遗传算法——胞腔排除遗传算法，利用该算法可求取非线性多峰函数全部全局最优解。仿真实验表明该算法合理、有效。

Cell-to-cell mapping is an approach which is applied to analyse the global property of nonlinear system. Based on cell and genetic algorithm that can converge to globally optimal solution, a new algorithm is proposed which can divide and exclude the cell dynamically so that all globally optimal solutions of nonlinear multimodal function can be found. The numerical simulations show that the algorithm is very reasonable and efficient.