Description: Evolutionary Computation Techniques: A Comparative Perspective by Erik Cuevas, Diego Oliva, ValentÃn Osuna This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. 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. Feature Compares various evolutionary computation (EC) techniques when they face complex optimization problems extracted from different engineering domains Poses a complex engineering optimization problem in each self-contained chapter Presents specific EC techniques as the best choice according to their search characteristics and conducts a set of experiments to compare their performance to other popular EC methods Details ISBN3319845683 Author ValentÃn Osuna Series Studies in Computational Intelligence ISBN-10 3319845683 ISBN-13 9783319845685 Format Paperback Subtitle A Comparative Perspective DEWEY 006.3 Pages 222 Publisher Springer International Publishing AG Year 2018 Publication Date 2018-07-07 Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Language English Series Number 686 UK Release Date 2018-07-07 Illustrations 33 Illustrations, color; 41 Illustrations, black and white; XV, 222 p. 74 illus., 33 illus. in color. Edition Description Softcover reprint of the original 1st ed. 2017 Alternative 9783319511085 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131032369;
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ISBN-13: 9783319845685
Book Title: Evolutionary Computation Techniques: A Comparative Perspective
Number of Pages: 222 Pages
Publication Name: Evolutionary Computation Techniques: a Comparative Perspective
Language: English
Publisher: Springer International Publishing Ag
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2018
Type: Textbook
Item Weight: 373 g
Author: Diego Oliva, Erik Cuevas, Valentin Osuna
Item Width: 155 mm
Format: Paperback