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International Journal of Production Research Volume 44, 2006 - Issue 22: Advances in Evolutionary Computation for Design and Manufacturing Problems
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Original Articles

Empirically discovering dominance relations for scheduling problems using an evolutionary algorithm

F. S. Al-Anzi Department of Computer Engineering, Kuwait University, P.O. Box 5969, Safat, KuwaitCorrespondence[email protected]
&
A. Allahverdi Department of Industrial and Management Systems Engineering, Kuwait University, P.O. Box 5969, Safat, Kuwait
Pages 4701-4712 | Received 01 Feb 2006, Published online: 22 Feb 2007

Citations (6)

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Read on this site (1)

Beatriz Murrieta Cortés, Juan Carlos Espinoza García & Fabiola Regis Hernández. (2012) Multi-objective flow-shop scheduling with parallel machines. International Journal of Production Research 50:10, pages 2796-2808.
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Articles from other publishers (5)

Carla Talens, Paz Perez-Gonzalez, Victor Fernandez-Viagas & Jose M. Framinan. (2021) New hard benchmark for the 2-stage multi-machine assembly scheduling problem: Design and computational evaluation. Computers & Industrial Engineering 158, pages 107364.
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Carla Talens, Victor Fernandez-Viagas, Paz Perez-Gonzalez & Jose M. Framinan. (2020) New efficient constructive heuristics for the two-stage multi-machine assembly scheduling problem. Computers & Industrial Engineering 140, pages 106223.
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Jose M. Framinan & Paz Perez-Gonzalez. (2017) The 2-stage assembly flowshop scheduling problem with total completion time: Efficient constructive heuristic and metaheuristic. Computers & Operations Research 88, pages 237-246.
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Fawaz S. Al-Anzi & Ali Allahverdi. (2013) An artificial immune system heuristic for two-stage multi-machine assembly scheduling problem to minimize total completion time. Journal of Manufacturing Systems 32:4, pages 825-830.
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Ali Allahverdi, C.T. Ng, T.C.E. Cheng & Mikhail Y. Kovalyov. (2008) A survey of scheduling problems with setup times or costs. European Journal of Operational Research 187:3, pages 985-1032.
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