Description: Evolutionary Computation Techniques: A Comparative Perspective Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Erik Cuevas, Valentin Osuna, Diego Oliva Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319845685, 978-3319845685 Synopsis 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.
Price: 73.05 GBP
Location: Aldershot
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Book Title: Evolutionary Computation Techniques: A Comparative Perspective
Number of Pages: 222 Pages
Language: English
Publication Name: Evolutionary Computation Techniques: a Comparative Perspective
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Computer Science
Item Height: 235 mm
Item Weight: 373 g
Type: Textbook
Author: Valentin Osuna, Diego Oliva, Erik Cuevas
Series: Studies in Computational Intelligence
Item Width: 155 mm
Format: Paperback
