A Brief Introduction to Continuous Evolutionary Optimization

Language: English

Published by Springer, Springer Dez 2013, 2013

3319034219 / 9783319034218

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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 KG, Sachsenplatz 4-6, 1201 Wien 108 pp. Englisch.…

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Title
A Brief Introduction to Continuous Evolutionary Optimization
Author
Oliver Kramer
Publisher
Springer, Springer Dez 2013
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319034219
ISBN 13
9783319034218
Item weight
178 grams
Dimensions
235x155x7 mm

buchversandmimpf2000

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