18 résultats avec le mot-clé: 'multi objective evolutionary algorithms scheduling distributed computing systems'
The first algorithm exploits the best-effort idea: it first optimizes makespan under maximum volt- age and speed assumption using a list scheduling algorithm and then energy
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MOMA multiple comparison results for the validation strategies in each optimization problem with the MLP classifier and the divider zoning operator - strategies
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Using evolutionary algorithms instead of exact optimizers for MOPs Multi-objective evolutionary algorithms. Including preference information in
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0 Problem is the instance treated. 0 UB is the upper bound obtained for the Make- span in single-objective studies. 0 M I and TI are the best Makespan and Tardi-
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The results have shown a clear pattern that the proposed approach can be effectively used to treat feature selection problem for reducing the number of features and achieving similar
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skill health care tasks scheduling, jobs corresponds to treatment tasks (a treatment task for each patient), machines are the medical staff members and health
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• We designed a complete algorithms, based on the results of Chapter 5, using: (1) Both semblance and modified differential semblance objectives; (2) A modified ε- MOEA with
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Development of the simulation based multi-objective optimization tool for dynamic business processes: We will apply existing evolutionary multi-objective algorithms to get
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Light Beam Search Based Multi-objective Optimization Using Evolutionary Algorithms. Innovization: Innovating Design Principles
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We are going to manage in our problem the scheduling of surgeries taking into account problem constraints; First of all, we do know for each surgery, which surgeon is going to
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This paper introduces a par- ticular mating restriction for Evolutionary Multi-objective Algorithms, based on the Pareto dominance relation: the partner of a non-dominated
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Keywords: Classification systems, feature extraction, ensemble of classifiers, multi-objective genetic
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Another gradient based strategies are used in memetic algorithms in which we hybridize multi-objective evolutionary algorithms (MOEAs) with local search strategies where
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More con- cretely, the contribution of the thesis is fourfold: (i) the feasibility of such a runtime is ex- plored; (ii) an adaptive and efficient protocol for the atomic capture
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7.32 Influence of the cache-exchange limit on the average clustering coefficient (CC) and the average path length (APL) in the Newscast network consisting of 1000 nodes with the
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Voor meer informatie over de richtlijnen voor de interpretatie van de testresultaten wordt verwezen naar de Toolkit voor brede motorische ontwikkeling (hoofdstuk
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Olariu serves on the Editorial Board of IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, VLSI Design, Parallel Algorithms
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