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基于遗传算法的一类非线性规划问题的求解
引用本文:张先波,孙艳海,蔡强. 基于遗传算法的一类非线性规划问题的求解[J]. 湖北工业大学学报, 2011, 26(3): 40-42
作者姓名:张先波  孙艳海  蔡强
作者单位:三峡大学理学院,湖北宜昌,443002
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.

关 键 词:遗传算法  自然搜索  非线性规划

On Solving Process of A Nonlinear Programming Problem Based Genetic Algorithm
ZHANG Xian-bo,SUN Yan-hai,CAI Qiang. On Solving Process of A Nonlinear Programming Problem Based Genetic Algorithm[J]. Journal of Hubei University of Technology, 2011, 26(3): 40-42
Authors:ZHANG Xian-bo  SUN Yan-hai  CAI Qiang
Affiliation:(College of Science,Three Gorges University,Yi Chang 443002,China)
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.
Keywords:genetic algorithm  natural search  nonlinear programming
本文献已被 CNKI 维普 万方数据 等数据库收录!
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