Evolutionary Computation Techniques: A Comparative Perspective

Erik Cuevas, Valentín Osuna, Diego Oliva (Autoren)

Buch | Softcover

XV, 222 Seiten

2018 | Softcover reprint of the original 1st ed. 2017
Springer International Publishing (Verlag)
9783319845685 (ISBN)

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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.

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.

Erscheinungsdatum	05.03.2022
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XV, 222 p. 74 illus., 33 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	373 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Computational Intelligence • EC for Complex Optimization • Evolutionary Computation for Complex Optimization • Evolutionary Computation Methods • Evolutionary Computation Techniques Comparison • Intelligent Systems
ISBN-13	9783319845685 / 9783319845685
Zustand	Neuware