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Brief Introduction Continuous Evolutionary by Kramer Oliver (15 results)
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A Brief Introduction to Continuous Evolutionary Optimization (SpringerBriefs in Computational Intelligence)
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Add to basketPaperback. Condition: Brand New. 2014 edition. 94 pages. 9.00x6.00x0.25 inches. In Stock.
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A Brief Introduction to Continuous Evolutionary Optimization
Published by Springer International Publishing, Springer International Publishing, 2013
ISBN 10: 3319034219 ISBN 13: 9783319034218
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Practical optimization problems are often hard to solve, in particular when they are black boxes and no further information about the problem is available except via function evaluations. This work introduces a collection of heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. The book gives an introduction to evolution strategies and parameter control. Heuristic extensions are presented that allow optimization in constrained, multimodal and multi-objective solution spaces. An adaptive penalty function is introduced for constrained optimization. Meta-models reduce the number of fitness and constraint function calls in expensive optimization problems. The hybridization of evolution strategies with local search allows fast optimization in solution spaces with many local optima. A selection operator based on reference lines in objective space is introduced to optimize multiple conflictive objectives. Evolutionary search is employed for learning kernel parameters of the Nadaraya-Watson estimator and a swarm-based iterative approach is presented for optimizing latent points in dimensionality reduction problems. Experiments on typical benchmark problems as well as numerous figures and diagrams illustrate the behavior of the introduced concepts and methods.
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A Brief Introduction to Continuous Evolutionary Optimization
Published by Springer International Publishing, 2013
ISBN 10: 3319034219 ISBN 13: 9783319034218
Language: English
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A Brief Introduction to Continuous Evolutionary Optimization
Published by Springer International Publishing Dez 2013, 2013
ISBN 10: 3319034219 ISBN 13: 9783319034218
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Practical optimization problems are often hard to solve, in particular when they are black boxes and no further information about the problem is available except via function evaluations. This work introduces a collection of heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. The book gives an introduction to evolution strategies and parameter control. Heuristic extensions are presented that allow optimization in constrained, multimodal and multi-objective solution spaces. An adaptive penalty function is introduced for constrained optimization. Meta-models reduce the number of fitness and constraint function calls in expensive optimization problems. The hybridization of evolution strategies with local search allows fast optimization in solution spaces with many local optima. A selection operator based on reference lines in objective space is introduced to optimize multiple conflictive objectives. Evolutionary search is employed for learning kernel parameters of the Nadaraya-Watson estimator and a swarm-based iterative approach is presented for optimizing latent points in dimensionality reduction problems. Experiments on typical benchmark problems as well as numerous figures and diagrams illustrate the behavior of the introduced concepts and methods. 108 pp. Englisch.
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A Brief Introduction to Continuous Evolutionary Optimization
Published by Springer International Publishing, 2013
ISBN 10: 3319034219 ISBN 13: 9783319034218
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Collection of heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spacesIntroduction to evolution strategies and parameter controlPresents heuristic extensions that allow optimization in .
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A Brief Introduction to Continuous Evolutionary Optimization
Published by Springer International Publishing, Springer Dez 2013, 2013
ISBN 10: 3319034219 ISBN 13: 9783319034218
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Practical optimization problems are often hard to solve, in particular when they are black boxes and no further information about the problem is available except via function evaluations. This work introduces a collection of heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. The book gives an introduction to evolution strategies and parameter control. Heuristic extensions are presented that allow optimization in constrained, multimodal and multi-objective solution spaces. An adaptive penalty function is introduced for constrained optimization. Meta-models reduce the number of fitness and constraint function calls in expensive optimization problems. The hybridization of evolution strategies with local search allows fast optimization in solution spaces with many local optima. A selection operator based on reference lines in objective space is introduced to optimize multiple conflictive objectives. Evolutionary search is employed for learning kernel parameters of the Nadaraya-Watson estimator and a swarm-based iterative approach is presented for optimizing latent points in dimensionality reduction problems. Experiments on typical benchmark problems as well as numerous figures and diagrams illustrate the behavior of the introduced concepts and methods.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 108 pp. Englisch.
