Grey Wolf Optimizer with Multi Step Crossover for Bi-objective Job Shop Scheduling Problem

Author:

Gunadiz SafiaORCID,Berrichi Ali

Publisher

Springer International Publishing

Reference20 articles.

1. Lawler, E.L., Lenstra, J.K., RinnooyKan, A.H.G., Shmoys, D.B.: Sequencing and scheduling: algorithms and complexity. (Designing decision support systems notes; Vol. 8903). Eindhoven: Technische Universiteit Eindhoven (1989)

2. Fisher, H., Thompson, G.: Probabilistic learning combinations of local job-shop scheduling rules in industrial scheduling. In: Muth, J.F., Thompson, G.L. (eds.) Englewood Cliffs: Prentice-Hall, pp. 225–251 (1963)

3. Komakia, G.M., Kayvanfar, V.: Grey wolf optimizer algorithm for the two-stage assembly flow shop scheduling problem with release time. J. Comput. Sci. 8, 109–112 (2015)

4. Lei, D.: A Pareto archive particle swarm optimization for multi-objective job shop scheduling. Comput. Ind. Eng. 54, 960–971 (2008)

5. Majid, K., Bahman, N.: Multi-objective job shop scheduling problem with sequence dependent setup times using a novel meta-heuristic. Int. J. Intell. Eng. Inform. 2(4), 243–258 (2014)

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