Evolutionary Computation Techniques: A Comparative Perspective

Author:   Erik Cuevas ,  Valentín Osuna ,  Diego Oliva
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   686
ISBN:  

9783319511085


Pages:   222
Publication Date:   07 January 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Evolutionary Computation Techniques: A Comparative Perspective


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Overview

This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods.

Full Product Details

Author:   Erik Cuevas ,  Valentín Osuna ,  Diego Oliva
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Volume:   686
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   4.853kg
ISBN:  

9783319511085


ISBN 10:   3319511084
Pages:   222
Publication Date:   07 January 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- Introduction.- Multilevel segmentation in digital images.- Multi-Circle detection on images.- Template matching.- Motion estimation.- Photovoltaic cell design.- Parameter identification of induction motors.- White blood cells Detection in images.- Estimation of view transformations in images.- Filter Design.

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