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

页码：393 / 398

页数：6

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