1
Young Researches Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2
Young 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.
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.
MLA
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.
HARVARD
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.
VANCOUVER
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.
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