Titlebook: Learning and Intelligent Optimization; 7th International Co Giuseppe Nicosia,Panos Pardalos Conference proceedings 2013 Springer-Verlag Ber

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PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection,on 24 well-known black-box functions to show that the progressive procedure is capable of selecting suitable models from the ensemble and that it can compete with state-of-the-art methods for sequential optimization.

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Intelligent Optimization for the Minimum Labelling Spanning Tree Problem,th the integration of other complements from machine learning, statistics and experimental algorithmics, in order to produce high-quality performance and to completely automate the resulting optimization strategy.

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A Genetic Algorithm Approach for the Multidimensional Two-Way Number Partitioning Problem,an integer linear programming formulation of the problem. The obtained preliminary results, in the case of medium and large instances, reveal that our proposed methodology performs very well in terms of both quality of the solutions and the computational times compared with the previous method of solving the MDTWNPP.

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Conference proceedings 2013anuary 2013. The 49 contributions presented in this volume were carefully reviewed and selected from 101 submissions. They explore the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.

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A Constraint Satisfaction Approach to Tractable Theory Induction,e/base case induction. We run benchmarks using two constraints: input-output specification and search space pruning. The benchmarks suggest our constraint satisfaction approach can speed up theory induction by four orders of magnitude or more, making certain intractable problems tractable.

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Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Studyg Branch-and-Bound and FlowShop as a case study, we deployed our approach using up to . GPUs and . CPUs. Through extensive experiments in different system configurations, we report near optimal speedups, thus providing new insights into how to take full advantage of both GPUs and CPUs power in modern computing platforms.