[1]焦留成,邵创创,程志平.一种求解连续空间约束优化问题的蚁群算法[J].郑州大学学报(工学版),2015,36(01):20-23.[doi:10.3969/j. issn.1671 -6833.2015.01.005]
　JIAO Liu-cheng,SHAO Chuang-chuang,CHENG Zhi-ping.Ant Colony Algorithm for Solving Continuous Space ConstrainedOptimization Problems[J].Journal of Zhengzhou University (Engineering Science),2015,36(01):20-23.[doi:10.3969/j. issn.1671 -6833.2015.01.005]
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一种求解连续空间约束优化问题的蚁群算法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
36
期数:
2015年01期
页码:
20-23
栏目:
出版日期:
2015-01-10

文章信息/Info

Title:
Ant Colony Algorithm for Solving Continuous Space ConstrainedOptimization Problems
作者:
焦留成; 邵创创; 程志平
郑州大学电气工程学院,河南郑州450001
Author(s):
JIAO Liu-cheng; SHAO Chuang-chuang; CHENG Zhi-ping
School of Electrical Engineering，Zhengzhou University ,Zhengzhou 450001 ,China
关键词:
连续空间; 约束优化; 蚁群算法; 惩罚函数
Keywords:
continuous space;  constrained optimization;  ant colony algorithm; penalty function method
分类号:
TP18
DOI:
10.3969/j. issn.1671 -6833.2015.01.005
文献标志码:
A
摘要:
借鉴蚁群算法和惩罚函数的思想提出了一种用于求解连续空间约束优化问题的蚁群算法.应用自适应调整惩罚因子的惩罚函数法将约束优化问题转化为无约束优化问题,再结合自适应调整全局选择因子和信息素挥发系数的连续域蚁群算法,求解连续空间约束优化问题.通过对基准测试函数进行编程求解,对比采用固定参数的蚁群算法求解结果,验证了所提改进算法的正确性和有效性.
Abstract:
With ideas of ant colony algorithm and penalty function,an ant colony algorithm,which can solvecontinuous space constrained optimization problems,was proposed. We adopted the penalty function method ofadjusting its value of adaptively to transform the constrained optimization problems into unconstrained optimiza-tion problems,and then combined with the continuous domain ant colony algorithm of adjusting its global selec-tion factor and the value of the pheromone evaporation factor adaptively to solve the continuous space constrainedoptimization problems. And through programming solution of one benchmarking function,we compared the re-sults with those of using fixed parameters ant colony algorithm,it was verified with correctness and effectiveness.

相似文献/References:

[1]李二超,李进.两阶段三存档集约束优化算法（TSDA）[J].郑州大学学报(工学版),2018,39(06):23.[doi:10.13705/j.issn.1671-6833.2018.06.002]
　Li Erchao,Li Jin.Constraint Optimization Algorithm with Two-Stage and Three-Archive[J].Journal of Zhengzhou University (Engineering Science),2018,39(01):23.[doi:10.13705/j.issn.1671-6833.2018.06.002]

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