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A GRASP approach for the machine reassignment problem
Details our solution (team J19, qualified) to the EURO/ROADEF Challenge 2012, proposed by Google. -
Local search for mixed-integer optimization : methodology and industrial appl...
Large mixed-variable optimization problems are often solved by decomposition, with some drawbacks : di culties to guarantee quality or even feasible solutions and... -
The Power of Local Search: Maximum Coverage over a Matroid
International audience -
A (k+3)/2-approximation algorithm for monotone submodular k-set packing and g...
International audience -
Heuristic for the preemptive asymmetric stacker crane problem
International audience -
Solving a Dial-a-Ride Problem with a Hybrid Multi-objective Evolutionary Appr...
International audience -
A Combinatorial Optimisation Approach to the Design of Dual Parented Long-Rea...
ISBN : 978-0-7695-4596-7 -
An Efficient Library for Solving CSP with Local Search
International audience -
A Memetic Evolutionary Multi-Objective Optimization Method for Environmental ...
International audience -
Dynamic Regional Harmony Search with Opposition and Local Learning
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Several versions of the devour digest tidy-up heuristic for unconstrained bin...
International audience -
On the efficiency of local search methods for the molecular docking problem
International audience -
Multi-criteria Scheduling on Clouds
Cloud computing has emerged during the last decade to be widely adopted nowadays in several IT areas. It consists to propose market or not marketoriented resources as... -
Local Search: Complexity and Approximation
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benchmark PPC et recherche locale sur des problèmes de tournées
International audience -
Parallel hybrid ant colony optimization on GPU to solve travelling salesman p...
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Autonomous operator control for local search
resolution methods have been proposed to deal with larger and more complex problems. Among those methods, metaheuristics are commonly used in academia and the industry... -
New structure learning algorithms and evaluation methods for large dynamic Ba...
Dynamic Bayesian networks (DBNs) are a class of probabilistic graphical models that has become a standard tool for modeling various stochastic time-varying phenomena....
