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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 TitleSolution 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
Volume41Issue:5Pages:973-977
ISSN0490-6756
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 AbstractAn 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 ByCSCD
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
Identifierhttp://ir.nssc.ac.cn/handle/122/2008
Collection微波遥感部
Corresponding Author北京8701信箱
Recommended Citation
GB/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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