Flow Shop Scheduling Problem

Author:

Marinaki Magdalene

Publisher

Springer International Publishing

Reference160 articles.

1. Aarts E, Korst J (1989) Simulated annealing and Boltzmann machines – a stochastic approach to combinatorial optimization and neural computing. Wiley, Chichester

2. Aarts E, Korst J, Van Laarhoven P (1997) Simulated annealing. In: Aarts E, Lenstra JK (eds) Local search in combinatorial optimization. Wiley, Chichester, pp 91–120

3. Aarts E, Ten Eikelder HMM (2002) Simulated annealing. In: Pardalos PM, Resende MGC (eds) Handbook of applied optimization. Oxford University Press, New York, pp 209–221

4. Abdel-Basset M, Manogaran G, El-Shahat D, Mirjalili S (2018) A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem. Future Gener Comput Syst 85(1):129–145

5. Agarwal A, Colak S, Eryarsoy E (2006) Improvement heuristic for the flow-shop scheduling problem: an adaptive-learning approach. Eur J Oper Res 169:801–815

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