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 一种改进的蚁群算法用于灰色约束非线性规划问题求解 Alternative Title Solution to Grey Constrained Nonl inear Programming ProblemBased on Improved Ant Colony Algorithm 段海滨; 王道波; 于秀芬; 朱家强; 北京8701信箱 Department 国家863计划微波遥感技术实验室 Source Publication 四川大学学报:自然科学版 2004 Volume 41Issue:5Pages:973-977 ISSN 0490-6756 Language 中文 Keyword 灰色系统 灰色约束非线性规划问题 蚁群算法 信息素 Abstract 针对灰色约束非线性规划问题,设计了一种改进蚁群算法.该算法采用了正反馈机制.在对灰色约束非线性规划问题白化处理后,将罚函数方法引入到目标函数中,同时给出了改进蚁群算法的仿真流程.实例应用表明,将改进后的蚁群算法应用于灰色约束非线性规划问题的求解是可行有效的. Other Abstract An improved ant colony algorithm was proposed to solve the grey const rained nonlinear programming problem.Positive feedback mechanism was adopted in this algorithm.On the basis of whitening the grey const rained nonlinear programming problem,penalty function method was int roduced in the objective function.A detailed programming flow-chart was also presented.The practical simulation result s show that the improved ant colony algorithm is feasible and effective in solving grey const rained nonlinear programming problem. Indexed By CSCD Funding Project 中国科学院空间科学与应用研究中心 Citation statistics Cited Times:1[CSCD]   [CSCD Record] Document Type 期刊论文 Identifier http://ir.nssc.ac.cn/handle/122/2008 Collection 微波遥感部 Corresponding Author 北京8701信箱 Recommended CitationGB/T 7714 段海滨,王道波,于秀芬,等. 一种改进的蚁群算法用于灰色约束非线性规划问题求解[J]. 四川大学学报:自然科学版,2004,41(5):973-977. APA 段海滨,王道波,于秀芬,朱家强,&北京8701信箱.(2004).一种改进的蚁群算法用于灰色约束非线性规划问题求解.四川大学学报:自然科学版,41(5),973-977. MLA 段海滨,et al."一种改进的蚁群算法用于灰色约束非线性规划问题求解".四川大学学报:自然科学版 41.5(2004):973-977.
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