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Volume 23 Issue 9
Sep.  2001
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Huang Huixian, Shi Zhongke. A HYBRID ALGORITHM FOR FINDING GLOBAL OPTIMUM WITH GENETIC ALGORITHM[J]. Journal of Electronics & Information Technology, 2001, 23(9): 875-878.
Citation: Huang Huixian, Shi Zhongke. A HYBRID ALGORITHM FOR FINDING GLOBAL OPTIMUM WITH GENETIC ALGORITHM[J]. Journal of Electronics & Information Technology, 2001, 23(9): 875-878.

A HYBRID ALGORITHM FOR FINDING GLOBAL OPTIMUM WITH GENETIC ALGORITHM

  • Received Date: 1999-12-17
  • Rev Recd Date: 2000-09-18
  • Publish Date: 2001-09-19
  • 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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