A Tabu Search Method for a Bi-Objective Urban Waste Collection Problem

被引：28
|
作者：
Ruben Gomez, Jose [1 ]
Pacheco, Joaquin [2 ]
Gonzalo-Orden, Hernan [3 ]
机构：
[1] Univ Burgos, Dept Expres Graf, Burgos, Spain
[2] Univ Burgos, Dept Econ Aplicada, Burgos, Spain
[3] Univ Burgos, Dept Ingn Civil, Burgos, Spain
来源：
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING | 2015年 / 30卷 / 01期
关键词：
VEHICLE-ROUTING PROBLEM; HAZARDOUS MATERIALS TRANSPORTATION; MULTIOBJECTIVE GENETIC ALGORITHM; GUIDED EVOLUTION STRATEGIES; TIME WINDOWS; MULTIPLE OBJECTIVES; LOCATION; MODEL; OPTIMIZATION; MANAGEMENT;
D O I：
10.1111/mice.12031
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A bi-objective model for the collection of waste bins in rural areas within a planning period is analyzed. This model is a real problem raised by local authorities in a rural region of northwestern Spain. The two objectives under consideration are: minimization of transport costs and improvements to the level of service. Specifically, the level of service depends on the frequency of waste collection at each point over the planning period. A solution method for this problem was developed by applying tabu search within the framework of Multiobjective Adaptive Memory Programming (MOAMP) and the results were compared with an implementation of NSGA-II, a well-known approach to multiobjective optimization.
引用
收藏
页码：36 / 53
页数：18
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