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» Optimization of Genetic Operators for Scheduling Problems
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AIPS
2008
14 years 11 months ago
A New Hybrid Genetic Algorithm for the Job Shop Scheduling Problem with Setup Times
In this paper we face the Job Shop Scheduling Problem with Sequence Dependent Setup Times by means of a genetic algorithm hybridized with local search. We have built on a previous...
Miguel A. González, Camino R. Vela, Ramiro ...
85
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EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 1 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
DMIN
2006
144views Data Mining» more  DMIN 2006»
14 years 10 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
IPPS
2008
IEEE
15 years 3 months ago
A genetic programming approach to solve scheduling problems with parallel simulation
—Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined...
Andreas Beham, Stephan M. Winkler, Stefan Wagner 0...
IJIT
2004
14 years 10 months ago
"Intuition" Operator: Providing Genomes with Reason
In this contribution, the use of a new genetic operator is proposed. The main advantage of using this operator is that it is able to assist the evolution procedure to converge fast...
Grigorios N. Beligiannis, Georgios A. Tsirogiannis...