General Heuristics Algorithms for Solving Capacitated Arc Routing Problem

被引:2
作者
Fadzli, Mohammad [1 ]
Najwa, Nurul [1 ]
Masran, Hafiz [1 ]
机构
[1] Univ Malaysia Perlis, Inst Matemat Kejuruteraan, Arau 02600, Perlis, Malaysia
来源
INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2014 (ICOMEIA 2014) | 2015年 / 1660卷
关键词
Capacitated arc routing problem; heuristics; waste collection; graph theory; TABU SEARCH;
D O I
10.1063/1.4915635
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we try to determine the near-optimum solution for the capacitated arc routing problem (CARP). In general, NP-hard CARP is a special graph theory specifically arises from street services such as residential waste collection and road maintenance. By purpose, the design of the CARP model and its solution techniques is to find optimum (or near-optimum) routing cost for a fleet of vehicles involved in operation. In other words, finding minimum-cost routing is compulsory in order to reduce overall operation cost that related with vehicles. In this article, we provide a combination of various heuristics algorithm to solve a real case of CARP in waste collection and benchmark instances. These heuristics work as a central engine in finding initial solutions or near-optimum in search space without violating the pre-setting constraints. The results clearly show that these heuristics algorithms could provide good initial solutions in both real-life and benchmark instances.
引用
收藏
页数:9
相关论文
共 16 条
  • [1] The investigation of a class of capacitated arc routing problems: the collection of garbage in developing countries
    Amponsah, SK
    Salhi, S
    [J]. WASTE MANAGEMENT, 2004, 24 (07) : 711 - 721
  • [2] Lower and upper bounds for the mixed capacitated arc routing problem
    Belenguer, Jose-Manuel
    Benavent, Enrique
    Lacomme, Philippe
    Prins, Christian
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2006, 33 (12) : 3363 - 3383
  • [3] A guided local search heuristic for the capacitated arc routing problem
    Beullens, P
    Muyldermans, L
    Cattrysse, D
    Van Oudheusden, D
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2003, 147 (03) : 629 - 643
  • [4] Eglese R.W., 1996, Meta-heuristics: Theory and Applications, P633, DOI DOI 10.1007/978-1-4613-1361-8_38
  • [5] A TABU SEARCH HEURISTIC FOR THE VEHICLE-ROUTING PROBLEM
    GENDREAU, M
    HERTZ, A
    LAPORTE, G
    [J]. MANAGEMENT SCIENCE, 1994, 40 (10) : 1276 - 1290
  • [6] COMPUTATIONAL EXPERIMENTS WITH ALGORITHMS FOR A CLASS OF ROUTING-PROBLEMS
    GOLDEN, BL
    DEARMON, JS
    BAKER, EK
    [J]. COMPUTERS & OPERATIONS RESEARCH, 1983, 10 (01) : 47 - 59
  • [7] CAPACITATED ARC ROUTING-PROBLEMS
    GOLDEN, BL
    WONG, RT
    [J]. NETWORKS, 1981, 11 (03) : 305 - 315
  • [8] HIRABAYASHI R, 1992, ASIA PAC J OPER RES, V9, P155
  • [9] Sequential search and its application to vehicle-routing problems
    Irnich, S
    Funke, B
    Grünert, T
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2006, 33 (08) : 2405 - 2429
  • [10] Competitive memetic algorithms for arc routing problems
    Lacomme, P
    Prins, C
    Ramdane-Cherif, W
    [J]. ANNALS OF OPERATIONS RESEARCH, 2004, 131 (1-4) : 159 - 185