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智能蚁群算法
Intelligent ant colony algorithm
【摘要】 蚁群算法是一种新颖的求解复杂优化组合问题的模拟进化算法,它具有典型的群体智能的特性。该算法的主要特点是正反馈、分布式计算、鲁棒性和并行性等,在许多领域都得到了成功应用。本文主要对蚁群算法的原理、特性及蚁群算法的改进算法进行了总体介绍。
【Abstract】 Ant colony algorithm is a novel simulating evolution algorithm with typical swarm intelligence feature and is used to solve some complicated NP-hard combinatorial optimization problems.This algorithm is applied to a lot of fields triumphantly,for its several characteristics,such as positive feedback,distributed computing,robustness and parallelism.Principium,characteristics and improved modes of ant colony algorithm are described generally.
【关键词】 蚁群算法;
群体智能;
旅行商问题;
【Key words】 ant colony algorithm; swarm intelligence; traveling salesman problem;
【Key words】 ant colony algorithm; swarm intelligence; traveling salesman problem;
【基金】 国家自然科学基金(70271035;60104004);上海市启明星计划(03QG14053);国家973子项目(2002CB312202);上海市教育科学研究项目(A0401)
- 【文献出处】 冶金自动化 ,Metallurgical Industry Automation , 编辑部邮箱 ,2005年03期
- 【分类号】TP18
- 【被引频次】26
- 【下载频次】566