Optimized genetic programming applications : emerging research and opportunities

by Bahrudin Hrnjica (University of Bihac, Bosnia and Herzegovina), Ali Danandeh Mehr (Antalya Bilim University, Turkey)

"This book explores the concept of genetic programming (GP), as supervised machine learning (ML) technique, from the theory to the computer implementation and, from the implementation to the application, and presents the complete process of using such ML technique in some real-world engineering problems"--Provided by publisher.

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Year of publication:	[2019]
Authors:	Hrnjica, Bahrudin ; Danandeh Mehr, Ali
Publisher:	Hershey, Pennsylvania : IGI Global
Subject:	Mathematische Optimierung \| Mathematical programming \| Evolutionärer Algorithmus \| Evolutionary algorithm \| Operations Research \| Operations research

Extent:	1 Online-Ressource (310 Seiten) Illustrationen
Series:	Advances in medical technologies and clinical practice (AMTCP) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Section 1. Theoretical aspects of genetic programming. Chapter 1. Fundamentals of genetic programming ; Chapter 2. Genetic programming as supervised machine learning algorithm ; Chapter 3. Different approaches in genetic programming -- Section 2. Implementation of genetic programming. Chapter 4. Computer implementation of genetic programming ; Chapter 5. GPdotNET open source software for running genetic programming ; Chapter 6. Genetic programming applications in solving engineering problems Also available in print.
ISBN:	978-1-5225-6006-7 ; 1-5225-6005-X ; 978-1-5225-6005-0
Other identifiers:	10.4018/978-1-5225-6005-0 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393270