Reactive Search and Intelligent Optimization

Preface.- Introduction.- Reacting on the neighborhood.- Reacting on the annealing schedule.- Reactive prohibitions.- Model-based search.- Reacting on the objective function.- Reinforcement learning.- Algorithm portfolios and restart strategies.- Racing.- Metrics, landscapes, and features.- Relationships between reactive search and reinforcement learning.- Index.