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.
