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基于遗传算法的一类非线性规划问题的求解

On Solving Process of A Nonlinear Programming Problem Based Genetic Algorithm

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【作者】 张先波孙艳海蔡强

【Author】 ZHANG Xian-bo,SUN Yan-hai,CAI Qiang (College of Science,Three Gorges University,Yi Chang 443002,China)

【机构】 三峡大学理学院

【摘要】 根据一类含有取整数值变量的非线性规划问题的特点,提出"遗传算法与自然搜索法"相结合的求近似解的方法.在解决大系统优化问题时,会有效地降低求解的难度,提高精度.

【Abstract】 Genetic algorithm is broadly applied in solving the nonlinear programming problem in recent years.This method is advanced in this paper according to the characteristic of a nonlinear programming problem and a genetic algorithm combined with natural searching method is presented.When applied in larger scale network,the calculation results show that this algorithm has advantage of reducing the complexity and raising accuracy.

  • 【文献出处】 湖北工业大学学报 ,Journal of Hubei University of Technology , 编辑部邮箱 ,2011年03期
  • 【分类号】O221.2
  • 【下载频次】216
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