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Task Assignments in Logistics by Adaptive Multi-Criterion Evolutionary Algorithm with Elitist Selection
Abstract
An evolutionary algorithm with elitist selection has been developed for finding Pareto-optimal task assignments in logistics. A multi-criterion optimization problem has been formulated for finding a set of Pareto- optimal solutions. Three criteria have been applied for evaluation of task assignment: the workload of a bottleneck machine, the cost of machines, and the numerical performance of system. The machine constraints have been respected.
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.15439/978-83-60810-58-3
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- Category:
- Other
- Type:
- supllement, wydanie specjalne, dodatek
- Published in:
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Annals of Computer Science and Information Systems
no. 2,
pages 1287 - 1291,
ISSN: 2300-5963 - Title of issue:
- Proceedings of the 2014 Federated Conference on Computer Science and Information Systems strony 1287 - 1291
- Language:
- English
- Publication year:
- 2014
- DOI:
- Digital Object Identifier (open in new tab) 10.15439/978-83-60810-58-3
- Verified by:
- Gdańsk University of Technology
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