Synopsis
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.
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