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Record Nr. |
UNINA9910461325103321 |
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Titolo |
Theory of randomized search heuristics [[electronic resource] ] : foundations and recent developments / / editors, Anne Auger, Benjamin Doerr |
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Pubbl/distr/stampa |
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Hackensack, N.J., : World Scientific, 2011 |
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ISBN |
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1-283-14828-5 |
9786613148285 |
981-4282-67-7 |
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Descrizione fisica |
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1 online resource (370 p.) |
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Collana |
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Series on theoretical computer science, , 1793-849X ; ; v. 1 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Algorithms |
Heuristic |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
9. A "No Free Lunch" Tutorial: Sharpened and Focused No Free Lunch Darrell Whitley and Jonathan Rowe10. Theory of Evolution Strategies: A New Perspective Anne Auger and Nikolaus Hansen; 11. Lower Bounds for Evolution Strategies Olivier Teytaud; Subject Index |
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Sommario/riassunto |
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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 |
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