About these proceedings
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. A large variety of topics are covered, such as benchmark problems and performance measures; tracking moving optima; dynamic multiobjective optimization; adaptation, learning, and anticipation; handling noisy fitness functions; using fitness approximations; searching for robust optimal solutions; comparative studies; hybrid approaches; theoretical analysis; and real-world applications.
Algorithm construction Answer set programming Bio-inspired approaches Bio-inspired optimization Classification Constraint solving Construction heuristics Data mining Decision tree Design Discrete optimization Experimentation Gaussian processes Machine learning approaches Metaheuristics Multi-criterion optimization and decision-making Optimization with randomized search heuristics Performance Real-world application Validation