Abdul Halim / Das / Ismail Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control

Volume 1
1. Auflage 2024
ISBN: 978-3-031-74013-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 50, 312 Seiten, eBook

Reihe: Emergence, Complexity and Computation

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.

Zielgruppe

Research

Autoren/Hrsg.

Abdul Halim, Abdul Hanif

Das, Swagatam

Ismail, Idris

Inhaltsverzeichnis

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