A genetic programming approach to solve scheduling problems with parallel simulation

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Beham:2008:ieeeIPDPS,

• author = "Andreas Beham and Stephan Winkler and Stefan Wagner and Michael Affenzeller",
• title = "A genetic programming approach to solve scheduling problems with parallel simulation",
• booktitle = "IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2008",
• year = "2008",
• month = apr,
• pages = "1--5",
• keywords = "genetic algorithms, genetic programming, dispatching, fitness evaluation, parallel simulation, production planning, scheduling problem, dispatching, production planning, scheduling",
• DOI = "doi:10.1109/IPDPS.2008.4536379",
• DOI = "doi:10.1109/IPDPS.2008.4536362",
• ISSN = "1530-2075",
• abstract = "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 by the means of an automated rule generation procedure and simulation. Genetic programming is applied as the creator and optimizer of the rules. A simulator is used for the fitness evaluation and distributed over a number of machines. Some example results suggest that the approach could be successfully applied in the real world as the results are more than human competitive.",
• notes = "Also known as \cite{4536379} \cite{4536362}",

}

Genetic Programming entries for Andreas Beham Stephan M Winkler Stefan Wagner Michael Affenzeller

Citations