Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Xiaomei Yang1, Jianchao Zen This email address is being protected from spambots. You need JavaScript enabled to view it.1,2 and Yu Zhang1

1Division of Industrial and System Engineering, Taiyuan University of Science & Technology, Taiyuan 030024, P.R. China
2School of Computer Science and Control Engineering, North University of China, Taiyuan 030051, P.R. China


 

Received: July 25, 2016
Accepted: March 16, 2017
Publication Date: June 1, 2017

Download Citation: ||https://doi.org/10.6180/jase.2017.20.2.15  

ABSTRACT


To whole-set orders scheduling problem, different categories of jobs are produced and the set-up time of machines should be considered during the production process. Through combining the theory of whole-set orders scheduling problem with glowworm swarm optimization, a hybrid-GSO is proposed. Improved population strategy and crossover operation is introduced in this algorithm taking into account the characteristics of whole-set orders scheduling problem with setup time. The simulation results validated its feasibility and efficiency.


Keywords: Whole-set orders scheduling, Setup time, Hybrid-GSO


REFERENCES


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