Brief Introduction to Continuous Evolutionary Optimization

Name: Brief Introduction to Continuous Evolutionary Optimization
Brand: Springer International Publishing AG
SKU: 9783319034218
Price: 276.36 RON
Availability: InStock

Autor: Oliver Kramer

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Editura: Springer International Publishing AG

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Practical optimization problems are often hard to solve, in particular when they are black boxes and...

Informații despre carte

Autor

Oliver Kramer

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2013

Pagini

EAN

9783319034218

ISBN

3319034219

Enbook ID

02198181

Editura

Springer International Publishing AG

Greutate

1766

Dimensiuni

155 x 235 x 41

Descriere completă

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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Brief Introduction to Continuous Evolutionary Optimization

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