中国农机化学报
中國農機化學報
중국농궤화학보
Journal of Chinese Agricultural Mechanization
2013年
5期
206-209
,共4页
蚁群%聚类%优化%选址
蟻群%聚類%優化%選阯
의군%취류%우화%선지
ant colony%cluster%optimization%location
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。
建立瞭城市蔬菜物流配送中心選阯問題模型,以配送成本最低為原則,運用聚類思想以及蟻群算法在求解多目標優化問題方麵的優勢,提齣瞭一種具有聚類性質的改進蟻群算法,併應用該算法對配送中心選阯問題進行求解。實驗結果錶明,該算法在求解物流配送中心選阯問題時,具有運算靈活、收斂速度快、求解質量高的特點。
건립료성시소채물류배송중심선지문제모형,이배송성본최저위원칙,운용취류사상이급의군산법재구해다목표우화문제방면적우세,제출료일충구유취류성질적개진의군산법,병응용해산법대배송중심선지문제진행구해。실험결과표명,해산법재구해물류배송중심선지문제시,구유운산령활、수렴속도쾌、구해질량고적특점。
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 .