An efficient strategy for multi-objective optimization problem

被引:0
|
作者
Peng, Yang [1 ]
机构
[1] Zhejiang Gongshang Univ, Sch Comp & Informat Engn, Hangzhou 310035, Zhejiang, Peoples R China
关键词
particle swarm optimization; location-routing problem; integrated optimization; logistics;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The location-routing problem is one of the problems in distribution network designing and logistic management, whose mathematical model is proposed in this paper firstly which is recognized as NP-hard. In this paper, a particle swarm optimization method for Location-Routing problem is introduced. Which adopts a novel particle representation to correspond to the LRP, and modified the objective function with additive penalty function part in order to make the solution more feasible, the Procedure of the PSO algorithm for LRP was then presented. From an illuminated example, the availability and performance of proposed PSO can be approved.
引用
收藏
页码:459 / 462
页数:4
相关论文
共 50 条
  • [1] Multi-objective evolution strategy for multimodal multi-objective optimization
    Zhang, Kai
    Chen, Minshi
    Xu, Xin
    Yen, Gary G.
    [J]. APPLIED SOFT COMPUTING, 2021, 101
  • [2] MCM placement problem with GASA multi-objective optimization strategy
    Lin, Shih-Jhe
    Huang, Yu-Jung
    Ko, Ching-Mai
    [J]. 2007 INTERNATIONAL CONFERENCE ON ELECTRONIC MATERIALS AND PACKAGING, 2007, : 107 - 113
  • [3] A Multi-objective Batch Infill Strategy for Efficient Global Optimization
    Habib, Ahsanul
    Singh, Hemant Kumar
    Ray, Tapabrata
    [J]. 2016 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2016, : 4336 - 4343
  • [4] GRASP/Δ: An efficient algorithm for the multi-objective portfolio optimization problem
    Estrada-Padilla, Alejandro
    Gomez-Santillan, Claudia
    Fraire-Huacuja, Hector Joaquin
    Cruz-Reyes, Laura
    Rangel-Valdez, Nelson
    Morales-Rodriguez, Maria Lucila
    Puga-Soberanes, Hector Jose
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2023, 211
  • [5] Multi-Objective Factored Evolutionary Optimization and the Multi-Objective Knapsack Problem
    Peerlinck, Amy
    Sheppard, John
    [J]. 2022 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2022,
  • [6] Multi-objective Optimization Problem for Hydroelectric Construction Project and Strategy Analysis
    Zheng, Huan
    Bai, Hailong
    [J]. PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, VOL 1, 2020, 1001 : 713 - 720
  • [7] Efficient multi-objective optimization algorithms for construction site layout problem
    Kaveh, A.
    Moghaddam, M. Rastegar
    Khanzadi, M.
    [J]. SCIENTIA IRANICA, 2018, 25 (04) : 2051 - 2062
  • [8] Efficient global optimization (EGO) for multi-objective problem and data mining
    Jeong, S
    Obayashi, S
    [J]. 2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PROCEEDINGS, 2005, : 2138 - 2145
  • [9] A constrained multi-objective optimization algorithm using an efficient global diversity strategy
    Long, Wenyi
    Dong, Huachao
    Wang, Peng
    Huang, Yan
    Li, Jinglu
    Yang, Xubo
    Fu, Chongbo
    [J]. COMPLEX & INTELLIGENT SYSTEMS, 2023, 9 (02) : 1455 - 1478
  • [10] A constrained multi-objective optimization algorithm using an efficient global diversity strategy
    Wenyi Long
    Huachao Dong
    Peng Wang
    Yan Huang
    Jinglu Li
    Xubo Yang
    Chongbo Fu
    [J]. Complex & Intelligent Systems, 2023, 9 : 1455 - 1478