Ant Colony Optimization for the Stochastic Loader Problem

摘要：

In 2004, Tang proposed a new NP-hard combinational optimization problem that frequently arises in practice-The Loader Problem. Two special cases of the problem (the restricted loader problem and the equal loader problem) and optimal solution strategy have been considered. In this paper, we extend Tangs model by proposing the stochastic quantity of load and unload at each station that make the model more applicable in practice. An Ant Colony Optimization (ACO) algorithm is designed for solving the stochastic loader problem. Two numerical examples are presented to illustrate the application of the developed model.

关键词： ant colony optimization loader problem stochastic.

作者: Peixin Zhao Hong Wang

作者单位: School of Management Shandong University Jinan, Shandong Province,China College of Finance Shandong Institute of Light Industry Jinan, Shandong Province,China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 1052-1056

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）