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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... -
Line configuration to minimize setup costs
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Decision aid tools for the preliminary design of machining systems equipped w...
This work concerns the preliminary design stage for machining systems equipped with multispindle heads, which are widely used in machining industry for high volume... -
Mean-field disordered systems : glasses and optimization problems, classical ...
This manuscript present my research activities in the field of statistical mechanics of disordered systems, in particular mean-field models with finite connectivity.... -
Vehicle and personnel routing optimization in the service sector: application...
Thèse réalisée en convention CIFRE avec Veolia Eau -
Assembly Line Balancing under Uncertainty: Robust Optimization Models and Exa...
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The Spherical Constraint in Boolean Quadratic Programs
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GAI networks are a graphical model, both compact and expressive, for representing the preferences of a Decision Maker in the context of Multiattribute Decision Making,... -
Decomposable graphical models for individual and collective decision
This thesis focuses on the use of GAI-Nets, a graphical model for compact preference representation, in order to achieve the usual features of a recommender system in... -
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... -
Multi-stage LTL transport systems in supply chain management
This paper aims to unify concepts and to describe the multi-stage transport systems and their integratyion to supply chain management. Multi-stage distribution systems... -
The omnipresence of Lagrange
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Multi-objective vehicle routing problems
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Vehicle Routing in Multi-Echelon Distribution Systems with Cross-Docking: A S...
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A Combinatorial Optimization Approach for the Electrical Energy Management in...
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Minimum-weight subgraphs with unicyclic components and a lower-bounded girth
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A new model for multicommodity flow problems, and a strongly polynomial algor...
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PARALLEL HYBRID OPTIMIZATION METHODS FOR PERMUTATION BASED PROBLEMS
Solving efficiently large benchmarks of NP-hard permutation-based problems requires the development of hybrid methods combining different classes of optimization... -
Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-G...
Branch and Bound (B&B) algorithms are attractive for solving to optimality combinatorial optimization problems (COPs) by exploring a tree-based search space....
