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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 | |
| 引用本文： | 段海滨,王道波,于秀芬,朱家强.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. |
| 作者姓名： | 段海滨 王道波 于秀芬 朱家强 |
| 作者单位： | 1. 南京航空航天大学自动化学院,南京,210016 2. 中国科学院空间科学与应用研究中心,北京,100080 3. 清华大学智能技术与系统国家重点实验室,北京,100084 |
| 基金项目： | 国家航空科学基金(01C52015),江苏省"333"工程基金 |
| 摘 要： | 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。 |
| 关 键 词： | 灰色系统 灰色约束非线性规划问题 蚁群算法 信息素 |
| 文章编号： | 0490-6756(2004)05-0973-05 |
Solution to Grey Constrained Nonlinear Programming Problem Based on Improved Ant Colony Algorithm |
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| DUAN Hai-bin,WANG Dao-bo,YU Xiu-fen,ZHU Jia-qiang.Solution to Grey Constrained Nonlinear Programming Problem Based on Improved Ant Colony Algorithm[J].Journal of Sichuan University (Natural Science Edition),2004,41(5):973-977. | |
| Authors: | DUAN Hai-bin WANG Dao-bo YU Xiu-fen ZHU Jia-qiang |
| Institution: | DUAN Hai-bin~1,WANG Dao-bo~1,YU Xiu-fen~2,ZHU Jia-qiang~3 |
| Abstract: | An improved ant colony algorithm was proposed to solve the grey constrained nonlinear programming problem. Positive feedback mechanism was adopted in this algorithm. On the basis of whitening the grey constrained nonlinear programming problem, penalty function method was introduced in the objective function. A detailed programming flow-chart was also presented. The practical simulation results show that the improved ant colony algorithm is feasible and effective in solving grey constrained nonlinear programming problem. |
| Keywords: | grey system grey constrained nonlinear programming problem ant colony algorithm pheromone |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |