Title | Multi-objective vehicle path planning method for recycling process of used electrical and electronic products |
Creator | |
Date Issued | 2020-11-06 |
Source Publication | ISPCE-CN 2020 - IEEE International Symposium on Product Compliance Engineering-Asia 2020
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Abstract | During the recycling process of used electrical and electronic products from recycling places to sorting center, the vehicle path planning is an urgent problem to be solved which needs to minimize the number of vehicles and vehicle transportation distance simultaneously. To solve this problem, a multi-objective optimization algorithm is proposed which combines the genetic algorithm (GA) and multi-objective evolutionary algorithm based on decomposition (MOEA/D). Firstly, the vehicle path planning model of the sorting center is established according to characteristics of product transportation process. Secondly, the GA is used to produce some vehicle path planning schemes. Then, the MOEA/D is introduced to deal with the trade-off relationship between two objectives. Simulation results demonstrate that the proposed algorithm is able to generate a set of non-dominated solutions. |
Keyword | Genetic algorithm MOEA/D Multi-objective optimization Vehicle path planning |
DOI | 10.1109/ISPCE-CN51288.2020.9321856 |
URL | View source |
Language | 英语English |
Scopus ID | 2-s2.0-85100662127 |
Citation statistics | |
Document Type | Conference paper |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/12171 |
Collection | Research outside affiliated institution |
Affiliation | 1.Beijing University of Technology,Faculty of Information Technology,Beijing,China 2.City University of Hong Kong,Department of Electrical Engineering,Hong Kong 3.Faculty of Information Technology,Beijing University of Technology,Beijing Key Laboratory of Computational Intelligence and Intelligence System,Eng. Research Center of Intelligent Perception and Autonomous Control Ministry of Education,Beijing,100124,China 4.Department of Electrical Engineering,City University of Hong Kong.,Hong Kong |
Recommended Citation GB/T 7714 | Yang,Cuili,Wu,Zhanhong,Han,Hongguiet al. Multi-objective vehicle path planning method for recycling process of used electrical and electronic products[C], 2020. |
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