利用遗传算法搜索全局最优的一种混合算法
A HYBRID ALGORITHM FOR FINDING GLOBAL OPTIMUM WITH GENETIC ALGORITHM
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摘要: 该文提出了一种基于遗传算法与梯度法相结合的混合优化搜索方法。该算法能帮助梯度法跳出局部最优,获得全局最优解,并对算法的收敛性进行了证明。最后给出的仿真结果表明了算法的有效性。Abstract: In this paper, a hybrid aJgorithm based on the combination of genetic algorithm and gradient method is proposed. It can help the gradient method to skip the local optimum and achieve the global minimum. The convergence of the hybrid algorithm is proved and the simulation result shows the effective of the algorithm at the end.
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钱富才,利用混沌搜索盒局最优的一种方法,信息与控制,1998,27(3),232-235.[2]Z. Michalewice, C. Z. Janikow, J. B. Krawczyk, A modified genetic algorithm for optimal control problems, Computer Math. Appl., 1992, 23(12), 83-94.[3]恽为民,遗传算法的全局收敛性和计算效率分析,控制理论与应用,1996,13(4),455-459[4]张彤,变尺度混沌优化方法及其应用,控制与决策,1999,14(3),285-287.[5]R. Salomon, Evolutionary algorithm and gradient search, similarities and differences, IEEE Trans.on Evolutionary Computation, 1998, EC-2(2), 45-55. -
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