Titlebook: Evolutionary Computation in Combinatorial Optimization; 4th European Confere Jens Gottlieb,Günther R. Raidl Conference proceedings 2004 Spr

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Introduction to Computer Graphics (Part I)ce properties. The model may later be used for better understanding what makes a particular instance hard. It may also be used for tuning the algorithm actually solving that problem instance. The paper introduces the definition of hardness, explains the statistical approach used for modeling instanc

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Replacing the Stability and Growth Pact?ighted sum method is proposed, and random repair method (RRM) is used to handle the constraints. Moreover, for the purpose of diversity preservation, a new and fast clustering method, called stochastic clustering method (SCM), is also introduced for mixture-based modelling. The experimental results

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https://doi.org/10.1007/978-3-663-13434-3of the users to these points. A new evolutionary approach that has been very effective for solving optimisation problems is Path Relinking, an extension of Scatter Search that links solutions over neighborhood spaces. Path Relinking gives a framework for combining solutions that goes beyond the cros

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https://doi.org/10.1007/978-3-322-89332-1The number of needed sheets, and therefore the waste, is to be minimized. The cutting facility requires three-staged guillotineable cutting patterns, and in addition, a plan for loading produced elements on transportation wagons. The availability of only three loading docks for wagons imposes additi

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Hans J. Kleinsteuber,Torsten Rossmanne secondary one is to minimise the total distance travelled by all vehicles. This paper describes some experiments with multiple ant colony systems, in particular a Triple Ant Colony System TACS, in which one colony (VMIN) tries to minimise the number of vehicles, one (DMIN) tries to minimise the to

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https://doi.org/10.1007/b96499Constraint Satisfaction; Scheduling; algorithms; ant colony optimization; combinatorial optimization; evo

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https://doi.org/10.1007/978-94-017-1491-4vel algorithm design features are proposed and the comprehensive computational study performed, shows both the contribution of using these features as well as the overall quality of the approach as compared to state of the art competing metaheuristics.

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https://doi.org/10.1057/9781137292896blem (VRP), namely the Rank based Ant System, the Max-Min Ant System and the Ant Colony System. Based on the results of this comparison we then implement a parallelization strategy to increase computational efficiency and study the effects of increasing the number of processors.

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