A Multi-objective Discrete Chemical Reaction Optimization Algorithm for Stochastic Disassembly Line Balancing Problem

Document Type

Conference Proceeding

Publication Date

1-1-2021

Abstract

A Disassembly Line Balancing Problem (DLBP) is an important problem in the recycling process of end-of-life products. Multiple constraints, such as precedence relation among subassemblies and disassembly incidence, must be considered in solving it. Considering the uncertainty of real disassemble operation time, this work constructs a stochastic multi-objective linear-shape DLBP based on an AND/OR graph. The objectives are to maximize profit, minimize energy consumption and the number of workstations. To solve it, a new multi-objective discrete chemical reaction optimization algorithm based on a Pareto solution set is proposed. To increase the diversity of solutions, four reaction operators are adopted. This work shows that the proposed algorithm is better than such well-known ones as a multi-objective discrete brainstorming optimizer, nondominated sorting genetic algorithm II, and multi-objective evolutionary algorithm.

Identifier

85124417283 (Scopus)

ISBN

[9781665417525]

Publication Title

International Conference on Advanced Mechatronic Systems Icamechs

External Full Text Location

https://doi.org/10.1109/ICAMechS54019.2021.9661544

e-ISSN

23250690

ISSN

23250682

First Page

156

Last Page

161

Volume

2021-December

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