Home Articles List Article Information
Journal of Optimization in Industrial Engineering
Journal Archive
Volume Volume 10 (2017)
Volume Volume 9 (2016)
Volume Volume 8 (2015)
Volume Volume 7 (2014)
Volume Volume 6 (2013)
Volume Volume 5 (2012)
Volume Volume 4 (2011)
Volume Volume 3 (2010)
Volume Volume 2 (2009)
Volume Volume 1 (2008)
Naderi, B., Sadeghi, H. (2012). َA Multi-objective simulated annealing algorithm to solving flexible no-wait flowshop scheduling problems with transportation times. Journal of Optimization in Industrial Engineering, 5(11), 33-41.
Bahman Naderi; Hassan Sadeghi. "َA Multi-objective simulated annealing algorithm to solving flexible no-wait flowshop scheduling problems with transportation times". Journal of Optimization in Industrial Engineering, 5, 11, 2012, 33-41.
Naderi, B., Sadeghi, H. (2012). 'َA Multi-objective simulated annealing algorithm to solving flexible no-wait flowshop scheduling problems with transportation times', Journal of Optimization in Industrial Engineering, 5(11), pp. 33-41.
Naderi, B., Sadeghi, H. َA Multi-objective simulated annealing algorithm to solving flexible no-wait flowshop scheduling problems with transportation times. Journal of Optimization in Industrial Engineering, 2012; 5(11): 33-41.

َA Multi-objective simulated annealing algorithm to solving flexible no-wait flowshop scheduling problems with transportation times

Article 4, Volume 5, Issue 11, Summer and Autumn 2012, Page 33-41  XML PDF (922 K)
Document Type: Original Manuscript
Authors
Bahman Naderi 1; Hassan Sadeghi2
1Young Researches Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2Young Researchers Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Abstract
This paper deals with a bi-objective hybrid no-wait flowshop scheduling problem minimizing the makespan and total weighted tardiness, in which we consider transportation times between stages. Obtaining an optimal solution for this type of complex, large-sized problem in reasonable computational time by using traditional approaches and optimization tools is extremely difficult. This paper presents a new multi-objective simulated annealing algorithm (MOSA). A set of experimental instances are carried out to evaluate the algorithm by advanced multi-objective performance measures. The algorithm is carefully evaluated for its performance against available algorithm by means of multi-objective performance measures and statistical tools. The related results show that a variant of our proposed MOSA provides sound performance comparing with other algorithms.
Keywords
No-wait hybrid flowshop scheduling; Multi-objective simulated annealing algorithm; Makespan; Total weighted tardiness
Statistics
Article View: 3,456
PDF Download: 3,174