Evolutionary algorithms applied to project scheduling problems—a survey of the state-of-the-art-Reference-Cited by-同舟云学术

Evolutionary algorithms applied to project scheduling problems—a survey of the state-of-the-art

Published:2007-01-15 Issue:2 Volume:45 Page:425-450
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Lancaster John,Ozbayrak Mustafa

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

http://www.tandfonline.com/doi/pdf/10.1080/00207540600800326

Reference57 articles.

1. Alcaraz, J and Maroto, C. 2001b. “A new genetic algorithm for the multi-mode resource-constrained project scheduling problem”. Dpto de Estadistica e Investigacion Operativa, Universidad Politecnica de Valencia Spain.

2. Bouleiman, K and Lecocq, H. 2000. “Multi-objective simulated annealing for the resource constrained multi-project scheduling problem”. Service de Robotic et Automatisation, Université de Liege.

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