A Simplified Teaching-Learning-Based Optimization Algorithm for Disassembly Sequence Planning

被引：18
|
作者：
Xia, Kai [1 ]
Gao, Liang [1 ]
Wang, Lihui [2 ]
Li, Weidong [3 ]
Chao, Kuo-Ming [3 ]
机构：
[1] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
[2] Royal Inst Technol, Sch Ind Engn & Management, Dept Prod Engn, Stockholm, Sweden
[3] Coventry Univ, Fac Engn & Comp, Coventry, England
来源：
2013 IEEE 10TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE) | 2013年
关键词：
disassembly; waste electrical and electronic equipment; disassembly sequence planning; meta-heuristic algorithms; simplified teaching-learning-based optimization; GENETIC ALGORITHM; RECOVERY; DESIGN;
D O I：
10.1109/ICEBE.2013.60
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Disassembly plays an important role in recovery and remanufacturing of Waste Electrical and Electronic Equipment (WEEE). A novel Simplified Teaching-Learning-Based Optimization (STLBO) algorithm is proposed for optimization of Disassembly Sequence Planning (DSP). The proposed STLBO is on the basis of a teaching-learning-based optimization method which is a new population based meta-heuristic algorithms. In the proposed STLBO algorithm, three operators are designed namely Feasible Solution Generator (FSG), Teacher Phase Operator (TPO) and Learner Phase Operator (LPO). The proposed algorithm is successfully tested against previous best known solutions for a set of public benchmarks.
引用
收藏
页码：393 / 398
页数：6
相关论文
共 50 条
  • [31] An improved teaching-learning-based optimization algorithm for solving global optimization problem
    Chen, Debao
    Zou, Feng
    Li, Zheng
    Wang, Jiangtao
    Li, Suwen
    INFORMATION SCIENCES, 2015, 297 : 171 - 190
  • [32] Ant colony optimization algorithm-based disassembly sequence planning
    Shan, Hongbo
    Li, Shuxia
    Huang, Jing
    Gao, Zhimin
    Li, Wei
    2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, : 867 - +
  • [33] A survey of teaching-learning-based optimization
    Zou, Feng
    Chen, Debao
    Xu, Qingzheng
    NEUROCOMPUTING, 2019, 335 : 366 - 383
  • [34] An improved teaching-learning-based optimization
    Hou, Jie
    Ren, Ziwu
    Lu, Pan
    Zhang, Kunting
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 3128 - 3132
  • [35] Parameter optimization of machining processes using teaching-learning-based optimization algorithm
    Pawar, P. J.
    Rao, R. Venkata
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 67 (5-8): : 995 - 1006
  • [36] A Teaching-Learning-Based Optimization Algorithm for Solving Set Covering Problems
    Crawford, Broderick
    Soto, Ricardo
    Aballay, Felipe
    Misra, Sanjay
    Johnson, Franklin
    Paredes, Fernando
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2015, PT IV, 2015, 9158 : 421 - 430
  • [37] Teaching-Learning-Based Optimization Algorithm Applied in Electronic Engineering: A Survey
    Gomez Diaz, Kenia Yadira
    De Leon Aldaco, Susana Estefany
    Aguayo Alquicira, Jesus
    Ponce-Silva, Mario
    Olivares Peregrino, Victor Hugo
    ELECTRONICS, 2022, 11 (21)
  • [38] An advanced teaching-learning-based algorithm to solve unconstrained optimization problems
    Fatehi, Mohammad
    Toloei, Alireza
    Niaki, S. T. A.
    Zio, Enrico
    INTELLIGENT SYSTEMS WITH APPLICATIONS, 2023, 17
  • [39] Optimal PMU Configuration Based on Improving Teaching-learning-based Optimization Algorithm
    Li, Xiaodong
    Jing, Mingyu
    PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING (EAME 2018), 2018, 127 : 335 - 339
  • [40] An image enhancement method based on improved teaching-learning-based optimization algorithm
    Bi X.
    Pan T.
    Bi, Xiaojun (zl12306124@163.com), 1716, Editorial Board of Journal of Harbin Engineering (37): : 1716 - 1721
12345