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Genetic algorithm scheduling

To be competitive, corporations must minimize inefficiencies and maximize productivity. In manufacturing, productivity is inherently linked to how… Expand
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2012
2012
In this work we address the efficient operation of public charging stations. Matching energy supply and demand requires an… Expand
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Highly Cited
2011
Highly Cited
2011
Scheduling data processing workflows (dataflows) on the cloud is a very complex and challenging task. It is essentially an… Expand
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Highly Cited
2009
Highly Cited
2009
The FlexRay bus is the prospective automotive standard communication system. For the sake of a high exibility, the protocol… Expand
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Highly Cited
2003
Highly Cited
2003
Attractive train schedules are quite important for the success of public rail transport. We consider schedules which are repeated… Expand
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1998
1998
Pinwheel scheduling algorithms can be used to produce distance-constrained real-time system schedules where the temporal distance… Expand
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Highly Cited
1997
Highly Cited
1997
In this paper, we investigate the applicability of a constraint satisfaction problem solving (CSP) model, recently developed for… Expand
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1996
1996
This paper presents recent work on the application of genetic algorithms to the NP-complete problem of multiprocessor scheduling… Expand
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1992
1992
Performance driven synthesis of sequential circuits relies on techniquessuch as optimal clocking, retiming and resynthesis. In… Expand
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Highly Cited
1991
Highly Cited
1991
 
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Highly Cited
1990
Highly Cited
1990
Abstract We describe applications of Genetic Algorithms (GAs) to the Job Shop Scheduling (JSS) problem. More specifically, the… Expand
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