计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (10): 226-229.

• 工程与应用 • 上一篇    下一篇

求解航次方案优选问题的改进蚁群算法

胡志军,王鸿斌   

  1. 忻州师范学院 计算机系,山西 忻州 034000
  • 出版日期:2012-04-01 发布日期:2012-04-11

Improved Ant Colony Optimization algorithm for solving optimal voyage selection

HU Zhijun, WANG Hongbin   

  1. Department of Computer Science, Xinzhou Teachers University, Xinzhou, Shanxi 034000, China
  • Online:2012-04-01 Published:2012-04-11

摘要: 针对航次方案优选问题的数学模型,提出一种改进的蚁群算法。算法采取了三种改进策略,用两阶段比选降低计算复杂度,利用小群最优试探初始化信息素强度,设计一种动态间隔变异算子避免陷入局部最优。不同规模的数值实验表明,该算法具有良好的计算性能。

关键词: 航次方案, 蚁群算法, 整数规划, 变异算子

Abstract: According to the mathematical model of Voyage scheme optimization, an improved ant colony algorithm is presented. Three strategies to improve the algorithm, it first uses selection of two-stage method to reduce the computational complexity, then uses small group of optimal search method to initialize the pheromone intensity, finally designs a kind of dynamic interval mutation operator to avoid getting into the local optimal. Different sizes of numerical experiments show that the algorithm has good computational performance.

Key words: voyage scheme, ant colony algorithm, integer programming, mutation operator