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Introduction to Stochastic Search and Optimization

Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control

Intended as a reference for researchers and a textbook for students, this book discusses a broad range of methods in stochastic search and optimization. Methods covered include random search, recursive least squares, stochastic approximation, simulated annealing, evolutionary computation, and reinforcement learning.

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About This Book

James C. Spall, The Johns Hopkins University Applied Physics Laboratory

John Wiley & Sons, Inc., 2003

ISBN: 0-471-33052-3
Language: English