Dataset - CKAN

Optimal design of highly redundant robotic manipulators for minimally invasiv...

This researcher focuses on the optimal design of high mobility robotized systems for minimally invasive surgery. It uses an optimization process based on...

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Contribution des algorithmes génétiques à l'optimisation des stratégies spati...

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Proxy d'interface Homme-Machine : apport des algorithmes génétiques pour l'ad...

Pervasive computing calls for more and more re-engineering on Web sites. Nowadays, Web sites are often designed to be displayed on a personal computer. However,...

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Analysis of heavy oil products by infrared spectroscopy

The aim of this study is to develop an alternative analysis for the characterisation of heavy oil products. Predictive chemometric models have been developed by...

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Using hybrid optimization methods for the agro-food industry scheduling problem

The purpose of our works is the implementation of methodologies for the resolution of the agro-food industry scheduling problem. Three new approaches based on genetic...

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Building an agent-based model of a monetary production economy : a complex dy...

We present here a computational, macroeconomic model with decentralized markets. The modeled economy is always out of equilibrium. It is composed of two principal sets...

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Accuracy Optimization for Energy Consumption Reduction in Embedded Systems

Telecommunication systems today have increasing complexity and require higher energy consumption. Therefore, energy-efficiency becomes one of the most important goals...

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A CONTRIBUTION FOR A SYNTHESIS OF PLAN AND SPATIAL MECHANISMS AND A PARALLEL ...

The traditional techniques of synthesis of mechanisms are still limited from application and performances point of view. The experiment of the designer still the...

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Evaluation de la performance acoustique des protections antibruit innovantes ...

Noise due to ground transportation infrastructures is among the first environmental concerns of this beginning of 21th century. Building noise protections along...

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Logistics in hospitals using mobile reconfigurable robots

Due to the expansion of the life duration and the shortage of medical personal in hospitals the EU funded IWARD project as part of the IFP6 program. The aims of this...

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A Multi-Agent Approach for Hybrid and Dynamic Coevolutionary Genetic Algorith...

In this dissertation we assert that modeling Coevolutionary Genetic Algorithms (CGAs) as organizational multi-agent systems overcomes the lack of explicitness at the...

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States-based Evolutionary Algorithm for Difficult Optimization

Evolutionary Algorithms (EAs) are search methods inspired by the darwinian theory of evolution, working iteratively on a population of potential solutions that are...

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Inverse identification of biological parameters in anisotropic hyperelasticity

This thesis focuses on research and development of inverse identification methods of material parameters. A particular attention is attributed to the viscoelastic...

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Optimisations en Electrotechnique par Algorithmes Génétiques

in this document, we describe new possibilities offered by genetic algorithms in Electrical Engineering. After analyzing the different existing methods of...

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Supervised Relational Machine Learning using Evolutionary Algorithms

U.F.R. Scientifique d'Orsay N° d'ordre: 6420

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Optimal Design of Advanced Engineering Modular Systems through a New Genetic ...

This thesis deals with the development of a strategy for the optimal design of modular systems. A modular system is a system composed by "elementary units" (the...