Scalable Optimization via Probabilistic Modeling
Subtitle: From Algorithms to Applications (Studies in Computational Intelligence)
Contributors: Martin Pelikan (Editor); Kumara Sastry (Editor); Erick Cantú-Paz (Editor)
Edition: 1 edition
Publisher: Springer
Published: November 14, 2006
Language: eng
Format: Hardcover
Number of pages: 350
ISBN-13: 9783540349532
Subjects: Applications of Computing; Artificial Intelligence - General; Mathematics; Science/Mathematics; Applied; Bayesian Optimization Algorithm; Distribution Algorithms; Evolutionary Algorithms; Mathematics / Applied
First sentence: Estimation of distribution algorithms (EDAs) [1, 5, 8, 11] address broad classes of optimization problems by learning explicit probabilistic models of promising solutions found so far and sampling the built models to generate new candidate solutions.