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
胡志军,王鸿斌
出版日期:
发布日期:
HU Zhijun, WANG Hongbin
Online:
Published:
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
胡志军,王鸿斌. 求解航次方案优选问题的改进蚁群算法[J]. 计算机工程与应用, 2012, 48(10): 226-229.
HU Zhijun, WANG Hongbin. Improved Ant Colony Optimization algorithm for solving optimal voyage selection[J]. Computer Engineering and Applications, 2012, 48(10): 226-229.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://cea.ceaj.org/CN/
http://cea.ceaj.org/CN/Y2012/V48/I10/226