Multi-objective assignment problem solved by hybrid Jaya algorithm

被引:0
|
作者
Tilva, Surbhi [1 ]
Dhodiya, Jayesh [1 ]
机构
[1] Sardar Vallabhbhai Natl Inst Technol, Dept Appl Math & Humanities, Surat 395007, Gujrat, India
关键词
Binary numbers; Exponential membership functions; Jaya algorithm; Multi-objective assignment problem; PROGRAMMING TECHNIQUE; FUZZY;
D O I
10.1080/09720502.2021.2015092
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The objective of this paper is to search the efficient arrangements of huge multi-objective assignment problem (MOAP). Here, we have modified the Jaya algorithm with the help of product operator in exponential membership functions for solving MOAP. We have also provided one numerical illustration from the real world for verifying the results of proposed approach. At last, the results of the proposed approach are contrasted with reputed approaches and from that we can conclude that the proposed approach is better for solving the MOAP.
引用
收藏
页码:109 / 121
页数:13
相关论文
共 50 条
  • [41] Hybrid Multi-Objective Genetic Algorithm for Multi-Objective Optimization Problems
    Zhang, Song
    Wang, Hongfeng
    Yang, Di
    Huang, Min
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1970 - 1974
  • [42] A hybrid Multi-Objective Evolutionary Algorithm for the uncapacitated exam proximity problem
    Côte, P
    Wong, T
    Sabourin, R
    PRACTICE AND THEORY OF AUTOMATED TIMETABLING V, 2005, 3616 : 294 - 312
  • [43] Hybrid effective Memetic algorithm for multi-objective resource allocation problem
    College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
    不详
    Wang, J. (jwang@tongji.edu.cn), 1600, Northeast University (29):
  • [44] Optimization of an established multi-objective delivering problem by an improved hybrid algorithm
    Wang, Chung-Ho
    Li, Cheng-Hsiang
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (04) : 4361 - 4367
  • [45] A hybrid fuzzy evolutionary algorithm for a multi-objective resource allocation problem
    Rachmawati, L
    Srinivasan, D
    HIS 2005: 5TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, PROCEEDINGS, 2005, : 55 - 60
  • [46] Optimization of an established multi-objective delivering problem by an improved hybrid algorithm
    Wang, Chung-Ho
    Li, Cheng-Hsiang
    Hsu, Yi
    CIE: 2009 INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2009, : 572 - +
  • [47] A hybrid genetic algorithm approach on multi-objective of assembly planning problem
    Chen, RS
    Lu, KY
    Yu, SC
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2002, 15 (05) : 447 - 457
  • [48] A Hybrid Cellular Genetic Algorithm for Multi-objective Crew Scheduling Problem
    Jolai, Fariborz
    Assadipour, Ghazal
    HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS, PT 1, 2010, 6076 : 359 - 367
  • [49] A Hybrid Algorithm for the Multi-objective Time Dependent Vehicle Routing Problem
    Sun, Yi
    Chen, Yue
    Pan, Changchun
    Yang, Genke
    ADVANCES IN TRANSPORTATION, PTS 1 AND 2, 2014, 505-506 : 1071 - 1075
  • [50] A hybrid genetic algorithm to solve a multi-objective Pickup and Delivery Problem
    Al Chami, Z.
    Mauler, H.
    Mauler, M. -A.
    Fitouri, C.
    IFAC PAPERSONLINE, 2017, 50 (01): : 14656 - 14661