An Ant Colony System based metaheuristic for solving single machine scheduling problem
Keywords:
metaheuristics, manufacturing, discrete optimization, stochastic descent, Ant Colony Systems
Abstract
This paper proposes a metaheuristic for solving the Single Machine Scheduling Problem that is implemented by a hybrid system made up of an Ant Colony System and a stochastic descent algorithm called Kangaroo. The hybrid system is based on the collaboration between a social type multiagent system and an Iterated Solution Improvement method.
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Published
2007-11-29
How to Cite
1.
Șerbencu A, Mînzu V, Șerbencu A. An Ant Colony System based metaheuristic for solving single machine scheduling problem. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 29Nov.2007 [cited 26Dec.2024];30:19-4. Available from: https://gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/666
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@ "Dunarea de Jos" University of Galati
