Titlebook: Hybrid Metaheuristics; El-Ghazali Talbi Book 2013 Springer-Verlag Berlin Heidelberg 2013 Computational Intelligence.Hybrid Metaheuristics

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The Heuristic (Dark) Side of MIP Solverspossible. However, the computed solution is not always the optimal one also because optimality is often not of primary interest for day-by-day users. We show some structural characteristics of MIP solvers and of computation for MIP problems that reveal the heuristic nature of the solvers. Moreover,

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Combining Column Generation and Metaheuristicsptimization problems. We describe a general framework entitled ”metaheuristic search by column generation” (for short, SearchCol). CG is a decomposition approach in which one linear programming master problem interacts with subproblems to obtain an optimal solution to a relaxed version of a problem.

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A VNS-Based Heuristic for Feature Selection in Data Miningtinent features, because the scarce knowledge of the problem under study often leads to consider features which do not provide a good description of the corresponding samples. The concept of consistent biclustering of a set of data has been introduced to identify such a maximal set. The problem can

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A Multi-paradigm Tool for Large Neighborhood Searcholog, ., and .. Other paradigms can be included. Solution search is performed by a hybrid solver that exploits the potentiality of the Constraint Programming environment . and of the Local Search framework . for Large Neighborhood Search . The user can modify a set of parameters for guiding the hybr

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