Evolutionary computation techniques : a comparative perspective

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 independ...

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Bibliographic Details
Main Author: Cuevas, Erik.
Other Authors: Osuna, Valentín., Oliva, Diego.
Format: eBook
Language: English
Published: Cham : Springer, 2017.
Series: Studies in computational intelligence ; v. 686.
Subjects:
Evolutionary computation.
elektronické knihy
electronic books
ISBN: 9783319511092
9783319511085
Physical Description: 1 online resource

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Table of contents

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100 1 |a Cuevas, Erik. 
245 1 0 |a Evolutionary computation techniques :  |b a comparative perspective /  |c Erik Cuevas, Valentín Osuna, Diego Oliva. 
260 |a Cham :  |b Springer,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence ;  |v volume 686 
504 |a Includes bibliographical references. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Evolutionary computation. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Osuna, Valentín. 
700 1 |a Oliva, Diego. 
776 0 8 |i Print version:  |a Cuevas, Erik.  |t Evolutionary computation techniques.  |d Cham : Springer, 2017  |z 9783319511085  |z 3319511084  |w (OCoLC)963914243 
830 0 |a Studies in computational intelligence ;  |v v. 686. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-51109-2  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99694  |d 99694 
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