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This book constitutes the thoroughly refereed post-conference
proceedings of the 9th International Conference on Learning and
Optimization, LION 9, which was held in Lille, France, in January
2015. The 31 contributions presented were carefully reviewed and
selected for inclusion in this book. The papers address all fields
between machine learning, artificial intelligence, mathematical
programming and algorithms for hard optimization problems. Special
focus is given to algorithm selection and configuration, learning,
fitness landscape, applications, dynamic optimization,
multi-objective, max-clique problems, bayesian optimization and
global optimization, data mining and - in a special session - also
on dynamic optimization.
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