计算机工程与应用Issue(21)：51-55,5.DOI:10.3778/j.issn.1002-8331.1304-0475
蚁群算法参数组合的博弈优化
Combination of ant colony algorithm parameters optimization based on game theory
摘要
Abstract
For the problem of ant colony algorithm combined parameters selection, a model of optimum combined parameters selection based on game theory is proposed. Due to the parameters influence and dependence on each other, they are as players. In this model, using the payoff function that transforms from the math relation between convergence time and parameters can obtain the best combination of parameters. Simulation results show that this model can get the combined parameters effectively.关键词
蚁群算法/博弈论/参数组合优化/收益函数Key words
ant colony algorithm/game theory/combination of parameters optimization/payoff function分类
信息技术与安全科学引用本文复制引用
郜庆市,孙树栋,韩青,钟尧..蚁群算法参数组合的博弈优化[J].计算机工程与应用,2013,(21):51-55,5.基金项目
西北工业大学创业种子基金（No.Z2013035）。 （）
