文件名称:pso4
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- 2012-11-26
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本文研究了多峰优化问题, 利用梯度算子和筛选策略, 得到了一种可求解多峰函数
全部最优解的改进型遗传算法. 数值模拟结果表明, 该算法在处理复杂多峰函数优化问题时, 局
部搜索能力和克服过早收敛能力方面相对于传统遗传算法均有很大提高.-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.
全部最优解的改进型遗传算法. 数值模拟结果表明, 该算法在处理复杂多峰函数优化问题时, 局
部搜索能力和克服过早收敛能力方面相对于传统遗传算法均有很大提高.-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.
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求多峰函数全部全局最优解的改进遗传算法.pdf