Reactive GRASP and Tabu Search based heuristics for the single source capacitated plant location problem

被引:0
|
作者
Delmaire, H [1 ]
Díaz, JA [1 ]
Fernández, E [1 ]
Ortega, M [1 ]
机构
[1] Univ Simon Bolivar, Dept Comp & TI, Caracas 1081A, Venezuela
关键词
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
This paper considers the Single Source Capacitated Plant Location Problem (SSCPLP). SSCPLP is a discrete location problem. It allows capacities on the plants to be opened and constrains each client to be served by a single open plant, The following algorithms are proposed: A Reactive GRASP heuristic; a Tabu Search heuristic; and two different hybrid approaches that combine elements of the GRASP and the Tabu Search methodologies. The elements of the proposed heuristics are presented. The Reactive GRASP algorithm is a self-tuning heuristic in which the calibration process is replaced by an automated criterion for selecting the parameter value. The Tabu Search heuristic provides the framework for the first of the hybrid approaches. It consists of two phases. The GRASP methodology is used for the first one, which can be viewed as a strong diversification mechanism. The second one consists of an intensification phase. The second hybrid algorithm follows the framework of the Reactive GRASP heuristic. It also consists of two phases and Tabu Search is used in the second phase as a mechanism to strengthen the Local Search. Computational experiments have been performed to evaluate the behavior of the proposed methods. The results on two different sets of test problems show that the proposed methods are very efficient. In particular, all of them outperform previous heuristic approaches in small computation times. Moreover, the outcome of different series of experiments carried out with CPLEX confirm the quality of all the heuristics and, in particular, of the two hybrid approaches.
引用
收藏
页码:194 / 225
页数:32
相关论文
共 50 条
  • [21] A Granular Variable Tabu Neighborhood Search for the capacitated location-routing problem
    Escobar, John Willmer
    Linfati, Rodrigo
    Baldoquin, Maria G.
    Toth, Paolo
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2014, 67 : 344 - 356
  • [22] Capacitated Centralized Carrier Collaboration Multihub Location Problem Tabu Search Approach
    Wang, Hao
    Unnikrishnan, Avinash
    Hernandez, Salvador
    Cheu, Ruey
    TRANSPORTATION RESEARCH RECORD, 2014, (2466) : 22 - 30
  • [23] A tabu search with slope scaling for the multicommodity capacitated location problem with balancing requirements
    Gendron, B
    Potvin, JY
    Soriano, P
    ANNALS OF OPERATIONS RESEARCH, 2003, 122 (1-4) : 193 - 217
  • [24] A Tabu Search with Slope Scaling for the Multicommodity Capacitated Location Problem with Balancing Requirements
    Bernard Gendron
    Jean-Yves Potvin
    Patrick Soriano
    Annals of Operations Research, 2003, 122 : 193 - 217
  • [25] Solution-based tabu search for the capacitated dispersion problem
    Lu, Zhi
    Martinez-Gavara, Anna
    Hao, Jin-Kao
    Lai, Xiangjing
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 223
  • [26] Ant Based Heuristics for the Capacitated Fixed Charge Location Problem
    Venables, Harry
    Moscardini, Alfredo
    ANT COLONY OPTIMIZATION AND SWARM INTELLIGENCE, PROCEEDINGS, 2008, 5217 : 235 - +
  • [27] Tabu based heuristics for the generalized hierarchical covering location problem
    Lee, Jung Man
    Lee, Young Hoon
    COMPUTERS & INDUSTRIAL ENGINEERING, 2010, 58 (04) : 638 - 645
  • [28] Genetic algorithms for the single source capacitated location problem
    Cortinhal, MJ
    Captivo, ME
    METAHEURISTICS: COMPUTER DECISION-MAKING, 2004, 86 : 187 - 216
  • [29] Heuristics for the capacitated modular hub location problem
    Hoff, Arild
    Peiro, Juanjo
    Corberan, Angel
    Marti, Rafael
    COMPUTERS & OPERATIONS RESEARCH, 2017, 86 : 94 - 109
  • [30] A Tabu search and ant colony system approach for the capacitated location-routing problem
    Bouhafs, Lyamine
    Hajjam, Amir
    Koukam, Abderrafiaa
    PROCEEDINGS OF NINTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING, 2008, : 46 - 50