Titlebook: Learning and Intelligent Optimization; 10th International C Paola Festa,Meinolf Sellmann,Joaquin Vanschoren Conference proceedings 2016 Spr

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0302-9743 ntelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to new ideas and methods; challenges and opportunities in various application areas; general trends, and specific developments..978-3-319-50348-6978-3-319-50349-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Learning a Stopping Criterion for Local Searchh algorithm until the expected quality is reached. Our experiments indicate that the suggested method is able to reduce the average runtime up?to 80% for real-world instances and up?to 97% for randomly generated instances with a minor impact in the quality of the solutions.

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Surrogate Assisted Feature Computation for Continuous Problemsthe features using a surrogate model is proposed, and validated from the point of view of the classification of the test functions. It is shown that when only small computational budgets are available, using surrogate models as proxies to compute the features can be beneficial.

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Structure-Preserving Instance Generationhat combines components of instances together to form new ones. We test our approach on the MaxSAT and SAT problems, and then demonstrate that portfolios trained on these generated instances perform just as well or even better than those trained on the real instances.

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security professionals.Helps executives managing IT securit.IT securiteers - The human and technical dimension working for the organisation...Current corporate governance regulations and international standards lead many organisations, big and small, to the creation of an information technology (IT