Bi-objective integer programming analysis based on the characteristic equation

被引:0
|
作者
Masar Al-Rabeeah
Santosh Kumar
Ali Al-Hasani
Elias Munapo
Andrew Eberhard
机构
[1] RMIT University,Department of Mathematical and Geospatail Sciences, School of Sciences
[2] Basrah University,Department of Mathematics, Faculty of Sciences
[3] University of Melbourne,Department of Mathematics and Statistics
[4] North West University,School of Economic and Decision Sciences
关键词
Bi-objective integer program; Characteristic equation; Non-dominated points; Pure integer program;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, a bi-objective integer programming problem is analysed using the characteristic equation that was developed to solve a single-objective pure integer program. This equation can also provides other ranked solutions i.e. 2nd, 3rd,... best solutions. These solutions are potential non-dominated points for a bi-objective integer program, which is being investigated in this paper. A “C” code is developed to solve the characteristic equation, a tool which is not available in the IBM ILOG CPLEX library. Two versions of this algorithm are developed to identify the non-dominated points for the bi-objective integer programming problem. The second version improves on the first by reducing the number of search steps. Computational experiments are carried out with respect to the two algorithms developed in this paper and comparisons have also been carried out with one of the recently developed method, the balanced box method. These computational experiments indicate that the second version of the algorithm developed in this paper performed significantly better than the first version and out performed the balanced box method with respect to both CPU time and the number of iterations.
引用
收藏
页码:937 / 944
页数:7
相关论文
共 50 条
  • [21] Bi-objective multistage stochastic linear programming
    O. Dowson
    D. P. Morton
    A. Downward
    Mathematical Programming, 2022, 196 : 907 - 933
  • [22] Bi-objective multistage stochastic linear programming
    Dowson, O.
    Morton, D. P.
    Downward, A.
    MATHEMATICAL PROGRAMMING, 2022, 196 (1-2) : 907 - 933
  • [23] Bi-objective and hierarchical control for the Burgers equation
    Araruna, F. D.
    Fernandez-Cara, E.
    da Silva, L. C.
    JOURNAL OF EVOLUTION EQUATIONS, 2024, 24 (02)
  • [24] A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp
    Hanif Malekpoor
    Konstantinos Chalvatzis
    Nishikant Mishra
    Amar Ramudhin
    Annals of Operations Research, 2019, 283 : 443 - 469
  • [25] Bi-objective mixed integer linear programming for managing building clusters with a shared electrical energy storage
    Dai, Rui
    Charkhgard, Hadi
    COMPUTERS & OPERATIONS RESEARCH, 2018, 96 : 172 - 186
  • [26] A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp
    Malekpoor, Hanif
    Chalvatzis, Konstantinos
    Mishra, Nishikant
    Ramudhin, Amar
    ANNALS OF OPERATIONS RESEARCH, 2019, 283 (1-2) : 443 - 469
  • [27] Metro timetable optimisation for minimising carbon emission and passenger time: a bi-objective integer programming approach
    Wang, Huan
    Yang, Xin
    Wu, Jianjun
    Sun, Huijun
    Gao, Ziyou
    IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 12 (07) : 673 - 681
  • [28] Bi-Objective Bilevel Programming Problem: A Fuzzy Approach
    Haseen, S.
    Bari, A.
    JOURNAL OF APPLIED MATHEMATICS STATISTICS AND INFORMATICS, 2015, 11 (02) : 97 - 115
  • [29] Bi-objective optimization of biochemical systems by linear programming
    Xu, Gongxian
    APPLIED MATHEMATICS AND COMPUTATION, 2012, 218 (14) : 7562 - 7572
  • [30] Minimum-cost maximum-satisfaction bi-objective integer programming optimization for empty containers repositioning
    School of Computer Science, Fudan University, No. 220, Handan Road, Shanghai, China
    不详
    不详
    不详
    ICIC Express Lett Part B Appl., 6 (1631-1638):