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Title Theory of randomized search heuristics : foundations and recent developments / editors, Anne Auger, Benjamin Doerr
Published Singapore ; Hackensack, NJ : World Scientific, [2011]
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Description 1 online resource (x, 359 pages) : illustrations
Series Series on theoretical computer science ; vol. 1
Series on theoretical computer science ; v. 1
Contents Preface; Contents; 1. Analyzing Randomized Search Heuristics: Tools from Probability Theory Benjamin Doerr; 2. Runtime Analysis of Evolutionary Algorithms for Discrete Optimization Peter S. Oliveto and Xin Yao; 3. Evolutionary Computation in Combinatorial Optimization Daniel Johannsen; 4. Theoretical Aspects of Evolutionary Multiobjective Optimization Dimo Brockho; 5. Memetic Evolutionary Algorithms Dirk Sudholt; 6. Simulated Annealing Thomas Jansen; 7. Theory of Particle Swarm Optimization Carsten Witt; 8. Ant Colony Optimization: Recent Developments in Theoretical Analysis Walter J. Gutjahr
Summary Randomized search heuristics such as evolutionary algorithms, genetic algorithms, evolution strategies, ant colony and particle swarm optimization turn out to be highly successful for optimization in practice. The theory of randomized search heuristics, which has been growing rapidly in the last five years, also attempts to explain the success of the methods in practical applications. This book covers both classical results and the most recent theoretical developments in the field of randomized search heuristics such as runtime analysis, drift analysis and convergence. Each chapter of this boo
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Heuristic algorithms.
Heuristic programming.
Form Electronic book
Author Auger, Anne, editor
Doerr, Benjamin, editor
ISBN 1283148285
9789814282673 (electronic bk.)
9814282677 (electronic bk.)