An immune genetic algorithm for simple assembly line balancing problem of type 1
ISSN: 0144-5154
Article publication date: 15 March 2018
Issue publication date: 16 April 2019
Abstract
Purpose
The purpose of this study is to develop an immune genetic algorithm (IGA) to solve the simple assembly line balancing problem of type 1 (SALBP-1). The objective is to minimize the number of workstations and workstation load for a given cycle time of the assembly line.
Design/methodology/approach
This paper develops a new solution method for SALBP-1, and a user-defined function named ψ(·) is proposed to convert all the individuals to satisfy the precedence relationships during the operation of IGA.
Findings
Computational experiments suggest that the proposed method is efficient.
Originality/value
An IGA is proposed to solve the SALBP-1 for the first time.
Keywords
Citation
Zhang, H.-y. (2019), "An immune genetic algorithm for simple assembly line balancing problem of type 1", Assembly Automation, Vol. 39 No. 1, pp. 113-123. https://doi.org/10.1108/AA-08-2017-101
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited