In this paper, multimodal optimization problems, the use of gradient operator and screening strategies can be solved by a multi-modal function all improved genetic algorithm for optimal solution. Numerical simulation results show that the algorithm in dealing with complex multi-modal function optimization problem , the local search ability and capacity to overcome the premature convergence of genetic algorithms are compared with the traditional greatly improved.

求多峰函数全部全局最优解的改进遗传算法.pdf

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