摘要
建立了城市蔬菜物流配送中心选址问题模型,以配送成本最低为原则,运用聚类思想以及蚁群算法在求解多目标优化问题方面的优势,提出了一种具有聚类性质的改进蚁群算法,并应用该算法对配送中心选址问题进行求解。实验结果表明,该算法在求解物流配送中心选址问题时,具有运算灵活、收敛速度快、求解质量高的特点。
The paper established the model of the problem about urban vegetable logistics distribution center location, proposed an improved ant colony algorithm with clustering nature with the target of lowest distribution cost by using clustering thinking as well as the advantages of ant colony algorithm in solving multi-objective optimization problem. Experimental resulted show that the algo-rithm for solving the logistics distribution center location problem has these features: computing flexible, fast convergence, high qual-ity solution.
出处
《中国农机化学报》
北大核心
2013年第5期206-209,共4页
Journal of Chinese Agricultural Mechanization
基金
国家自然科学基金(70701013)
关键词
蚁群
聚类
优化
选址
ant colony
cluster
optimization
location