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18 résultats avec le mot-clé: 'multi objective evolutionary algorithms scheduling distributed computing systems'

Multi-objective evolutionary algorithms for energy-aware scheduling on 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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2006 — Classification systems optimization with multi-objective evolutionary algorithms

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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evolutionaryalgorithm Optimize

Using evolutionary algorithms instead of exact optimizers for MOPs Multi-objective evolutionary algorithms. Including preference information in

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Design of Multi-Objective Evolutionary Algorithms: Application to the Flow-Shop Scheduling Problem

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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Machine Learning using Multi-Objective Evolutionary Algorithms

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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Multi-Objective Evolutionary for Multi-Skill Health Care Tasks Scheduling

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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SEISMIC VELOCITY INVERSION USING MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS

• 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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Simulation Based Multi-Objective Optimization for Dynamic Business Processes

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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GECCO 2018 tutorial on evolutionary multiobjective optimization

Light Beam Search Based Multi-objective Optimization Using Evolutionary Algorithms. Innovization: Innovating Design Principles

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Evolutionary Approach for Multi-Objective Scheduling in Surgical Unit

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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Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms

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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Classification System Optimization with Multi-Objective Genetic Algorithms

Keywords: Classification systems, feature extraction, ensemble of classifiers, multi-objective genetic

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SPIDER: decomposition and path-relinking based algorithm for bi-objective optimization problems

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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Chemical Computing for Distributed Systems: Algorithms and Implementation

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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Cheating-Tolerance of Parallel and Distributed Evolutionary Algorithms in Desktop Grids and Volunteer Computing Systems

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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Toolkit voor de training van docenten

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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Handbook ofBioinspired Algorithmsand Applications

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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Human Heuristics for a Team of Mobile Robots

Firstly, we present the human centered approach to Robotics and, secondly, the collection of data from humans that mimic Robots in the sense that they would have

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