摘要
蚁群算法是一种模拟昆虫王国中蚂蚁群体觅食行为的仿生优化算法,该算法采用了正反馈并行自催化机制,具有较强的鲁棒性、优良的分布式计算机制、易与其它方法结合等优点,在解决许多复杂优化问题方面已经展现出其优异的性能和巨大的发展潜力。本文介绍了基本蚁群算法的原理、数学模型,总结近年来蚁群算法在一些新领域中的发展应用,分析了蚁群算法未来的研究方向和主要研究内容。
[Abstract]Am colony algorithm is a bionic optimization algorithms that simulated insect foraging behavior, the algorithm uses a parallel self- catalytic mechanism of positive feedback, has strong robustness, good distributed computer system, easily combined with the advantages of other methods, in solving many complex optimization problems has been demonstrated its excellent performance and great development poten（ial.. This article describes the basic ant colony algorithm and its mathematical models, ant colony algorithm and then discuss the recent years many new areas in the development and application of, finally, some remarks for future research and key research.
出处
《科技信息》
2012年第33期I0015-I0015,I0046,共2页
Science & Technology Information
基金
陕西省教育厅项目(项目编号12jk0746)
渭南师范学院研究生项目(项目编号08YKZ025)
关键词
蚁群算法
优化问题
蚁群算法应用
[Key words]Ant colony algorithm
Optimization
Application of ant colony algorithm
