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.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.15439/978-83-60810-58-3
- Category
- Inne
- Type
- supllement, wydanie specjalne, dodatek
- Language
- angielski
- Publication year
- 2014
