ACS-TS: Train scheduling using ant colony system.
Ghoseiri, Keivan, Morshedsolouk, Fahimeh (2006)
Journal of Applied Mathematics and Decision Sciences
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Ghoseiri, Keivan, Morshedsolouk, Fahimeh (2006)
Journal of Applied Mathematics and Decision Sciences
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Sebastian Pokutta, Gautier Stauffer (2009)
RAIRO - Operations Research
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In this paper, we describe the methodology used to tackle France Telecom workforce scheduling problem (the subject of the Roadef Challenge 2007) and we report the results obtained on the different data sets provided for the competition. Since the problem at hand appears to be NP-hard and due to the high dimensions of the instance sets, we use a two-step heuristical approach. We first devise a problem-tailored heuristic that provides good feasible solutions and then we use a meta-heuristic...
Ewa Figielska (2009)
Control and Cybernetics
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Snežana Mladenović, Mirjana Čangalović (2007)
The Yugoslav Journal of Operations Research
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Khaled Mesghouni, Slim Hammadi, Pierre Borne (2004)
International Journal of Applied Mathematics and Computer Science
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This paper explains how to use Evolutionary Algorithms (EA) to deal with a flexible job shop scheduling problem, especially minimizing the makespan. The Job-shop Scheduling Problem (JSP) is one of the most difficult problems, as it is classified as an NP-complete one (Carlier and Chretienne, 1988; Garey and Johnson, 1979). In many cases, the combination of goals and resources exponentially increases the search space, and thus the generation of consistently good scheduling is particularly...
Salido, Miguel A., Barber, Federico (2009)
Mathematical Problems in Engineering
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Lian, Zhigang (2010)
Discrete Dynamics in Nature and Society
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Helena Ramalhinho Lourenço, Daniel Serra (2002)
Mathware and Soft Computing
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The Generalized Assignment Problem consists of assigning a set of tasks to a set of agents at minimum cost. Each agent has a limited amount of a single resource and each task must be assigned to one and only one agent, requiring a certain amount of the agent's resource. We present the application of a MAX-MIN Ant System (MMAS) and a greedy randomized adaptive search procedure (GRASP) to the generalized assignment problem based on hybrid approaches. The MMAS heuristic can be seen as an...
Zhu, Zhanguo, Sun, Linyan, Chu, Feng, Liu, Ming (2011)
Mathematical Problems in Engineering
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Jacek Błażewicz, Paolo Dell'Olmo, Maciej Drozdowski (2002)
RAIRO - Operations Research - Recherche Opérationnelle
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In this work scheduling multiprocessor tasks on two parallel identical processors is considered. Multiprocessor tasks can be executed by more than one processor at the same moment of time. We analyze scheduling unit execution time and preemptable tasks to minimize schedule length and maximum lateness. Cases with ready times, due-dates and precedence constraints are discussed.
Adam Janiak, Tomasz Kwiatkowski, Maciej Lichtenstein (2013)
International Journal of Applied Mathematics and Computer Science
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In this article a survey of studies on scheduling problems with a common due window assignment and earliness/tardiness penalty functions is presented. A due window is a generalization of the classical due date and describes a time interval in which a job should be finished. If a job is completed before or after the due window, it incurs an earliness or a tardiness penalty, respectively. In this survey we separately analyse the classical models with job-independent and job-dependent earliness/tardiness...