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Metaheuristic Computation: A Performance Perspective

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This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance? Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)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. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.

Availability
Inventory Code Barcode Call Number Location Status
1908001226EB0001832006.3 Cue mCentral Library (OPAC)Available
Detail Information
Series Title
Intelligent Systems Reference Library
Call Number
006.3 Cue m
Publisher
Switzerland : Springer Cham.,
Collation
xiv, 269p.:Ill
Language
English
ISBN/ISSN
978-3-030-58100-8
Classification
006.3
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Artificial intelligence
Specific Detail Info
-
Statement of Responsibility
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No other version available

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