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Minimizing total flow time in permutation flow shop scheduling with improved simulated annealing

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1 Author(s)
Uday K. Chakraborty ; Department of Math & Computer Science, University of Missouri, St. Louis, USA

For the past two decades simulated annealing has been playing a crucial role in the design of optimization strategies for flow shop scheduling applications. This paper presents an efficient simulated annealing algorithm for minimizing the total flow time in permutation flow shop scheduling problems. Empirical results demonstrate the improvement in solution quality obtained by the proposed approach over state-of-the-art methods in the literature.

Published in:

2009 IEEE Congress on Evolutionary Computation

Date of Conference:

18-21 May 2009