Description: Industrial Applications of Evolutionary Algorithms 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): Ernesto Sanchez, Giovanni Squillero, Alberto Tonda Format: Hardback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642274664, 978-3642274664 Synopsis "Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques. Experienced users will find interesting details of real-world problems, advice on solving issues related to fitness computation or modeling, and suggestions on how to set the appropriate parameters to reach optimal solutions. Beginners will find a thorough introduction to evolutionary computation, and a complete presentation of several classes of evolutionary algorithms exploited to solve different problems. Inside, scholars will find useful examples on how to fill the gap between purely theoretical examples and industrial problems. The collection of case studies presented is also extremely appealing for anyone interested in Evolutionary Computation, but without direct access to extensive technical literature on the subject. After the introduction, each chapter in the book presents a test case, and is organized so that it can be read independently from the rest: all the information needed to understand the problem and the approach is reported in each part. Chapters are grouped by three themes of particular interest for real-world applications, namely prototype-based validation, reliability and test generation. The authors hope that this volume will help to expose the flexibility and efficiency of evolutionary techniques, encouraging more companies to adopt them; and that, most of all, you will enjoy your reading.
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Location: Aldershot
End Time: 2024-10-29T09:15:22.000Z
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Book Title: Industrial Applications of Evolutionary Algorithms
Number of Pages: 130 Pages
Language: English
Publication Name: Industrial Applications of Evolutionary Algorithms
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2012
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 415 g
Type: Textbook
Author: Alberto Tonda, Giovanni Squillero, Ernesto Sanchez
Series: Intelligent Systems Reference Library
Item Width: 155 mm
Format: Hardcover