OVERVIEW AND ANALYSIS OF SOLVING METHOD FOR CARGO DISTRIBUTION PROBLEMS IN MULTI-OBJECTIVE OPTIMIZATION MODEL

被引:0
|
作者
Szczepanski, Emilian [1 ]
机构
[1] Warsaw Univ Technol, Fac Transport, Dept Logist & Transport Syst, Warsaw, Poland
关键词
VRP; hierarchical distribution systems; multi-objective optimization model;
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Currently a lot of emphasis is placed on the development of new solutions to the problems of cargo distribution. Depending on the complexity of the tasks we can use an approximate or exact algorithms. In this article, the author focused on the solution methods of transport problems in multistage distribution system with variable zoning customer service. Methods to solve the problems associated with multi-criteria optimization of the system structure that is under consideration were presented. Search algorithms for a rational road transport network were taken into account. It also indicated a possible method of solving the problem of vehicles routing. This paper contains an analysis of the functionality of the various methods and their possible implementation for the problem.
引用
收藏
页码:628 / 633
页数:6
相关论文
共 50 条
  • [41] Solving multi-objective optimization problems by a bi-objective evolutionary algorithm
    Wang, Yu-Ping
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 1018 - 1024
  • [42] Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems
    Soheyl Khalilpourazari
    Bahman Naderi
    Saman Khalilpourazary
    Soft Computing, 2020, 24 : 3037 - 3066
  • [43] Multi-Objective Stochastic Fractal Search: a powerful algorithm for solving complex multi-objective optimization problems
    Khalilpourazari, Soheyl
    Naderi, Bahman
    Khalilpourazary, Saman
    SOFT COMPUTING, 2020, 24 (04) : 3037 - 3066
  • [44] Multi-objective sand cat swarm optimization based on adaptive clustering for solving multimodal multi-objective optimization problems
    Niu, Yanbiao
    Yan, Xuefeng
    Zeng, Weiping
    Wang, Yongzhen
    Niu, Yanzhao
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2025, 227 : 391 - 404
  • [45] An Improved Multi-Objective Genetic Algorithm for Solving Multi-objective Problems
    Hsieh, Sheng-Ta
    Chiu, Shih-Yuan
    Yen, Shi-Jim
    APPLIED MATHEMATICS & INFORMATION SCIENCES, 2013, 7 (05): : 1933 - 1941
  • [46] An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems: Analysis and Validations
    Abdel-Basset, Mohamed
    Mohamed, Reda
    Mirjalili, Seyedali
    Chakrabortty, Ripon K.
    Ryan, Michael
    IEEE ACCESS, 2021, 9 (09): : 42817 - 42844
  • [47] A COMBINED SCALARIZATION METHOD FOR MULTI-OBJECTIVE OPTIMIZATION PROBLEMS
    Xia, Yuan-mei
    Yang, Xin-min
    Zhao, Ke-quan
    JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2021, 17 (05) : 2669 - 2683
  • [48] A NONLINEAR SCALARIZATION METHOD FOR MULTI-OBJECTIVE OPTIMIZATION PROBLEMS
    Long, Qiang
    Jiang, Lin
    Li, Guoquan
    PACIFIC JOURNAL OF OPTIMIZATION, 2020, 16 (01): : 39 - 65
  • [49] Taguchi's method for multi-objective optimization problems
    Agastra, Elson
    Pelosi, Giuseppe
    Selleri, Stefano
    Taddei, Ruggero
    INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, 2013, 23 (03) : 357 - 366
  • [50] A method for solving the multi-objective transit frequency optimization problem
    Giesen, Ricardo
    Martinez, Hector
    Mauttone, Antonio
    Urquhart, Maria E.
    JOURNAL OF ADVANCED TRANSPORTATION, 2016, 50 (08) : 2323 - 2337