Titlebook: Learning and Intelligent Optimization; 6th International Co Youssef Hamadi,Marc Schoenauer Conference proceedings 2012 Springer-Verlag Berl

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Conference proceedings 2012, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming a

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0302-9743 contributions the conference also included 3 invited speakers, who presented forefront research results and frontiers, and 3 tutorial talks, which were crucial in bringing together the different components of LION community.978-3-642-34412-1978-3-642-34413-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Optimization by ℓ1-Constrained Markov Fitness Modellingection criteria based on Mutual Information. Then, we employ ℓ.-regularization to further enforce sparsity in the model, estimating its parameters at the same time. Our proposal is analyzed against the 3D Ising Spin Glass function, a problem known to be NP-hard, and it outperforms other popular black-box meta-heuristics.

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Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardnesd examine the features of TSP instances that make the problem either hard or easy to solve. As a measure of problem difficulty for 2-opt we use the approximation ratio that it achieves on a given instance. Our investigations point out important features that make TSP instances hard or easy to be approximated by 2-opt.

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