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Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control - Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail

Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control

Volume 1
Buch | Hardcover
XX, 312 Seiten
2024
Springer International Publishing (Verlag)
978-3-031-74012-1 (ISBN)
CHF 249,95 inkl. MwSt
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This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the crucial balance between exploration and exploitation in search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes essential for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages and processes, offering a comprehensive discussion of various approaches supported by extensive literature.

The authors note a scarcity of literature addressing the trade-offs between exploration and exploitation with contemporary references, making this work particularly valuable. It aims to deepen the reader's understanding of evolutionary computing, emphasizing exploration, exploitation, and parameter control. It is relevant not only to algorithm developers and the evolutionary computation community but also to students and researchers across scientific disciplines. The book is designed to be accessible to those without extensive algorithm development backgrounds, providing theoretical and practical insights into optimization methods.

Algorithm initialization categories and assessment.- Fundamental Tradeoffs between exploration and exploitation search mechanisms.- Distributions and Functions Driven.

Erscheinungsdatum
Reihe/Serie Emergence, Complexity and Computation
Zusatzinfo XX, 312 p. 153 illus., 15 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Algorithm initialization • Computational Intelligence • Evolutionary Computing • machine learning and hyperheuristics • Parameter Tuning and Control • Statistical Learning
ISBN-10 3-031-74012-2 / 3031740122
ISBN-13 978-3-031-74012-1 / 9783031740121
Zustand Neuware
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