Solving a Distribution Network Design Problem by means of Evolutionary Algorithms

被引:0
|
作者
Cabrera, Guillermo [1 ]
Niklander, Stefanie [2 ,3 ]
Cabrera, Enrique [4 ]
Johnson, Franklin [5 ]
机构
[1] Pontificia Univ Catolica Valparaiso, Valparaiso, Chile
[2] Univ Autonoma Chile, Santiago, Chile
[3] Univ Cient Sur, Lima, Peru
[4] Univ Valparaiso, CIMFAV, Valparaiso, Chile
[5] Univ Playa Ancha, Santiago, Chile
来源
STUDIES IN INFORMATICS AND CONTROL | 2016年 / 25卷 / 01期
关键词
Evolutionary Algorithm; Distribution Network Design; Logistics; Combinatorial Optimisation; INVENTORY CONTROL; LOCATION MODEL; CAPACITY;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper a simple and efficient evolutionary algorithm is implemented to solve a Distribution Network Design problem (DND). The DND problem that we address here integrates inventory policies with location/allocation decision making. This problem, also known as Inventory Location Modeling problem, is a complex combinatorial optimization problem that cannot be solved by exact methods as the number of decision variables increases. We compare our algorithm to previously implemented algorithms. Our evolutionary approach is shown to be very competitive in terms of both objective function value and execution time.
引用
收藏
页码:21 / 28
页数:8
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