Autonomous Search

Dr. Youssef Hamadi is the head of the Constraint Reasoning Group at Microsoft Research Cambridge, and his research interests include combinatorial optimization in alternative frameworks (parallel and distributed architectures); the application of machine learning to search; autonomous search; and parallel propositional satisfiability. Prof. Eric Monfroy is affiliated with both the Universidad Técnica Federico Santa María, Valparaíso, Chile and LINA, Université de Nantes, France; his research areas include heuristics, optimization, constraints, and search. Prof. Frédéric Saubion coheads the Metaheuristics, Optimization and Applications team at the Université d'Angers; his research topics include hybrid and adaptive evolutionary algorithms and applications of metaheuristics to various domains such as information retrieval, nonmonotonic reasoning and biology.

• An Introduction to Autonomous Search.-Part I – Offline Configuration.-Evolutionary Algorithm Parameters and Methods to Tune Them.- Automated Algorithm Configuration and Parameter Tuning.- Case-Based Reasoning for Autonomous Constraint Solving.- Learning a Mixture of Search Heuristics.- Part II – Online Control.- An Investigation of Reinforcement Learning for Reactive Search Optimization.- Adaptive Operator Selection and Management in Evolutionary Algorithms.- Parameter Adaptation in Ant Colony Optimization.- Part III – New Directions and Applications.- Continuous Search in Constraint Programming.- Control-Based Clause Sharing in Parallel SAT Solving.- Learning Feature-Based Heuristic Functions.