Ant Colony Optimization Algorithm Based on the Nearest Neighbor Node Choosing Strategy and Genetic Operator

TAO Li-min; GUO Jun-en

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Ant Colony Optimization Algorithm Based on the Nearest Neighbor Node Choosing Strategy and Genetic Operator

更新时间：2026-09-04

- Ant Colony Optimization Algorithm Based on the Nearest Neighbor Node Choosing Strategy and Genetic Operator
- Vol. 27, Issue 4, Pages: 179-181(2010)
- 作者机构：
  
  1. 杭州师范大学机构信息科学与工程学院,浙江,杭州,310036
  2. 浙江工业大学机构信息工程学院,浙江,杭州,310032
  3. 洛阳理工学院机构计算机与信息工程系,河南,洛阳,471023
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
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陶利民, 郭俊恩. 带有近邻选择策略和遗传算子的蚁群算法[J]. 微电子学与计算机, 2010, 27(4): 179-181,185.

TAO Li-min, GUO Jun-en. Ant Colony Optimization Algorithm Based on the Nearest Neighbor Node Choosing Strategy and Genetic Operator[J]. 2010, 27(4): 179-181.
陶利民, 郭俊恩. 带有近邻选择策略和遗传算子的蚁群算法[J]. 微电子学与计算机, 2010, 27(4): 179-181,185. DOI：

TAO Li-min, GUO Jun-en. Ant Colony Optimization Algorithm Based on the Nearest Neighbor Node Choosing Strategy and Genetic Operator[J]. 2010, 27(4): 179-181. DOI：

摘要

针对蚁群算法的不足

文中提出一种带有近邻节点选择策略和遗传算子的蚁群算法.在算法执行时

每只蚂蚁选择下一个城市采用近邻选择策略

在每轮循环结束时

对较优个体进行交叉运算的操作方法

以期提高蚁群算法的收敛速度.实验结果表明该算法是有效的.

Abstract

To aim at the lacks

an improved ACO is presented. This algorithm is an ACO having the nearest neighbor node choosing strategy and genetic operator. The ACO’s convergence speed is expected to be raised by means of using the nearest neighbor node choosing strategy when choosing the next city to move

and making crossover operator among better results at the end of each iteration. The experiment results indicate that the improved ACO is effectual.

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