An improved fireworks algorithm for the constrained single-row facility layout problem

被引:26
|
作者
Liu, Silu [1 ,2 ]
Zhang, Zeqiang [1 ,2 ]
Guan, Chao [1 ,2 ]
Zhu, Lixia [1 ,2 ]
Zhang, Min [1 ,2 ]
Guo, Peng [1 ,2 ]
机构
[1] Southwest Jiaotong Univ, Sch Mech Engn, Chengdu, Peoples R China
[2] Technol & Equipment Rail Transit Operat & Mainten, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
constrained single-row facility layout problem; fireworks algorithm; mixed-integer programming model; facility layout design; GENETIC ALGORITHM; LOCAL SEARCH; OPTIMIZATION; MODEL;
D O I
10.1080/00207543.2020.1730465
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The single-row facility layout problem (SRFLP) decides upon the arrangement of facilities in a straight row so as to minimise the material handling cost. Generally, this problem allows the placement of the facilities in any location in any order without any restriction, but some practical SRFLP cases are required to meet various types of constraints imposed on the placement of its facilities in the engineering of the placement of factory machinery and equipment. According to this new perspective, we studied the constrained SRFLP (cSRFLP) in this paper. In this problem, a few facilities need to be placed in certain positions or specified orders with or without the requirement to be located next to each other. To address this novel layout problem, related constraints are defined and classified, and novel mixed-integer programming models for the problem are formulated. Subsequently, the CPLEX software is employed to solve this problem. Then a constrained improved fireworks algorithm is presented, which is discretised to solve the considered cSRFLP. Our computational experiments demonstrate that the proposed algorithm performs better than the existing algorithms in solving the problem.
引用
收藏
页码:2309 / 2327
页数:19
相关论文
共 50 条
  • [41] A Particle Swarm Optimization for the Single Row Facility Layout Problem
    Samarghandi, Hamed
    Taabayan, Pouria
    Jahantigh, Farzad Firouzi
    2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009), 2009, : 1027 - +
  • [42] A new lower bound for the single row facility layout problem
    Amaral, Andre R. S.
    DISCRETE APPLIED MATHEMATICS, 2009, 157 (01) : 183 - 190
  • [43] A particle swarm optimization for the single row facility layout problem
    Samarghandi, Hamed
    Taabayan, Pouria
    Jahantigh, Farzad Firouzi
    COMPUTERS & INDUSTRIAL ENGINEERING, 2010, 58 (04) : 529 - 534
  • [44] Heuristic search algorithm for the single-row machine layout in an automated manufacturing system
    Murthy, P. B. G. S. N.
    Ranganayakulu, Jinka
    Vidhu, K. P.
    Rao, K. Venkata
    1ST GLOBAL COLLOQUIUM ON RECENT ADVANCEMENTS AND EFFECTUAL RESEARCHES IN ENGINEERING, SCIENCE AND TECHNOLOGY - RAEREST 2016, 2016, 25 : 1088 - 1095
  • [45] GRASP with path relinking for the single row facility layout problem
    Rubio-Sanchez, Manuel
    Gallego, Micael
    Gortazar, Francisco
    Duarte, Abraham
    KNOWLEDGE-BASED SYSTEMS, 2016, 106 : 1 - 13
  • [46] Improved fireworks algorithm for the corridor allocation problem with facility depth
    Liu S.-L.
    Zhang Z.-Q.
    Guan C.
    Gong J.-H.
    Zhang, Ze-Qiang (zzq_22@163.com), 1600, Northeast University (35): : 45 - 54
  • [47] Solving single row facility layout problem using extended artificial chromosome genetic algorithm
    Utamima, Amalia
    Ou-Yang, Chao
    Journal of Technology, 2012, 27 (04): : 189 - 194
  • [48] Two-Phase Genetic Algorithm for Solving the Paired Single Row Facility Layout Problem
    Parwananta, Hutama
    Maghfiroh, Meilinda F. N.
    Yu, Vincent F.
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2013, 12 (03): : 181 - 189
  • [49] An improved GRASP method for the multiple row equal facility layout problem
    Uribe, Nicolas R.
    Herran, Alberto
    Colmenar, J. Manuel
    Duarte, Abraham
    EXPERT SYSTEMS WITH APPLICATIONS, 2021, 182
  • [50] A hybrid genetic algorithm for the single row layout problem
    Ozcelik, Feristah
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (20) : 5872 - 5886