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Evolutionary Computation Techniques: A Comparative Perspective: 686 (Studies in Computational Intelligence) - Hardcover
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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.
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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.
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- VerlagSpringer
- Erscheinungsdatum2017
- ISBN 10 3319511084
- ISBN 13 9783319511085
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten240
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Evolutionary Computation Techniques: A Comparative Perspective
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Springer International Publishing, 2017
ISBN 10: 3319511084
ISBN 13: 9783319511085
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Evolutionary Computation Techniques: A Comparative Perspective (Studies in Computational Intelligence, 686)
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Evolutionary Computation Techniques: A Comparative Perspective
Verlag:
Springer International Publishing, 2017
ISBN 10: 3319511084
ISBN 13: 9783319511085
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Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783319511085
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