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Titlebook: Evolutionary Computation in Combinatorial Optimization; 6th European Confere Jens Gottlieb,Günther R. Raidl Conference proceedings 2006 Spr

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Sighard Neckel,Ferdinand Sutterlütyaphs as problem solvers, using several standard discrete optimization problems as a benchmark. The EA variants employed include self-adaptation of mutation rates. Results are compared with the corresponding classical panmictic EA showing that topology together with self-adaptation drastically influences the search.
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Cheryl Lans,Candice Sant,Karla Georgesing solutions, providing the best possible child from the parental set. This MA is applied to the maximum density still life problem. Experimental tests indicate that the MA provides optimal or near-optimal results at an acceptable computational cost.
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Die drei Phasen der Ethohydraulik,al of the model, we use it in ., in an evolutionary algorithm, and in the same evolutionary algorithm extended with heuristics. An empiricial investigation is performed to show an increase in efficiency on two problem suites , a set of practical problem instances and a set of hard problem instances from the phase transition.
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Jerome Cranston,Kristin Kusanovich hybrid metaheuristic of GRASP with a parametrized scoring function is called parametrized GRASP heuristic (PGRASP). We present a PGRASP algorithm for the axial three index assignment problem (AP3) and computational results comparing PGRASP with the classical GRASP strategy.
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Zum Messen von Wohlbefinden bei Nutztieren,ts show that BHGA performs considerably well compared with a modified lower bound and significantly outperforms the SGA and a simulated annealing (SA) approach addressed in literature. In comparison with a constructive heuristic named FFLPT, BHGA also shows its superiority.
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