A variable neighborhood search approach for cyclic bandwidth sum problem

被引:5
作者
Cavero, Sergio [1 ]
Pardo, Eduardo G. [1 ]
Duarte, Abraham [1 ]
Rodriguez-Tello, Eduardo [2 ]
机构
[1] Univ Rey Juan Carlos, Dept Comp Sci, C Tulipan s-n, Madrid 28903, Spain
[2] Cinvestav, Unidad Tamaulipas, Km 5 5 Carretera Victoria Soto Marina, Victoria 87130, Tamps, Mexico
关键词
Cyclic bandwidth sum; Graph layout problem; Variable Neighborhood search; Greedy algorithm; Combinatorial optimization; SIMULATED ANNEALING ALGORITHM; OPTIMIZATION;
D O I
10.1016/j.knosys.2022.108680
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we tackle the Cyclic Bandwidth Sum Problem, consisting in minimizing the sum of the bandwidth of the edges of an input graph computed in a cycle-structured host graph. This problem has been widely studied in the literature due to its multiple real-world applications, such as circuit design, migration of telecommunication networks, or graph drawing, among others. Particularly, we tackle this problem by proposing a multistart procedure whose main components are a new greedy constructive algorithm and an intensification strategy based on the Variable Neighborhood Search metaheuristic. The constructive procedure introduces two different greedy criteria to determine each step of the construction phase, which can be used for other related problems. Additionally, we illustrate how to perform an efficient exploration of the neighborhood structure by using an alternative neighborhood. Our algorithmic proposal is evaluated over a set of 40 instances previously studied in the literature and over a new proposed set of 66 well-known instances introduced in this paper. The obtained results have been satisfactory compared with the ones obtained by the best previous algorithm in the state of the art. The statistical tests performed indicate that the differences between the methods are significant. (C)2022 Elsevier B.V. All rights reserved.
引用
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页数:13
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共 39 条
  • [1] Two-dimensional bandwidth minimization problem: Exact and heuristic approaches
    Angel Rodriguez-Garcia, Miguel
    Sanchez-Oro, Jesus
    Rodriguez-Tello, Eduardo
    Monfroy, Eric
    Duarte, Abraham
    [J]. KNOWLEDGE-BASED SYSTEMS, 2021, 214
  • [2] Cavero Sergio, 2021, Advances in Artificial Intelligence: 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Proceedings. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence (12882), P139, DOI 10.1007/978-3-030-85713-4_14
  • [3] A general variable neighborhood search for the cyclic antibandwidth problem
    Cavero, Sergio
    Pardo, Eduardo G.
    Duarte, Abraham
    [J]. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 81 (02) : 657 - 687
  • [4] Multistart search for the Cyclic Cutwidth Minimization Problem
    Cavero, Sergio
    Pardo, Eduardo G.
    Laguna, Manuel
    Duarte, Abraham
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2021, 126
  • [5] A study on cyclic bandwidth sum
    Chen, Ying-Da
    Yan, Jing-Ho
    [J]. JOURNAL OF COMBINATORIAL OPTIMIZATION, 2007, 14 (2-3) : 295 - 308
  • [6] SOME RESULTS ON TREE DECOMPOSITION OF GRAPHS
    DING, G
    OPOROWSKI, B
    [J]. JOURNAL OF GRAPH THEORY, 1995, 20 (04) : 481 - 499
  • [7] GRASP with Path Relinking Heuristics for the Antibandwidth Problem
    Duarte, A.
    Marti, R.
    Resende, M. G. C.
    Silva, R. M. A.
    [J]. NETWORKS, 2011, 58 (03) : 171 - 189
  • [8] Parallel variable neighbourhood search strategies for the cutwidth minimization problem
    Duarte, Abraham
    Pantrigo, Juan J.
    Pardo, Eduardo G.
    Sanchez-Oro, Jesus
    [J]. IMA JOURNAL OF MANAGEMENT MATHEMATICS, 2016, 27 (01) : 55 - 73
  • [9] SPARSE-MATRIX TEST PROBLEMS
    DUFF, IS
    GRIMES, RG
    LEWIS, JG
    [J]. ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 1989, 15 (01): : 1 - 14
  • [10] Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum
    Hamon, Ronan T.
    Borgnat, Pierre
    Flandrin, Patrick
    Robardet, Celine
    [J]. JOURNAL OF COMPLEX NETWORKS, 2016, 4 (04) : 534 - 560