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Handbook of Genetic Programming Applications


Menge:  Stück  
Produktinformationen
cover
cover
Artikel-Nr.:
     5667A-9783319208824
Hersteller:
     Springer Verlag
Herst.-Nr.:
     9783319208824
EAN/GTIN:
     9783319208824
Suchbegriffe:
Anwendungssoftware (Fachbücher)
Anwendungssoftwarebücher
Bücher für Datenbanken - englischsp...
Bücher zu Anwendungs-Software - eng...
This contributed volume, written by leading international researchers, reviews the latest developments of genetic programming (GP) and its key applications in solving current real world problems, such as energy conversion and management, financial analysis, engineering modeling and design, and software engineering, to name a few. Inspired by natural evolution, the use of GP has expanded significantly in the last decade in almost every area of science and engineering. Exploring applications in a variety of fields, the information in this volume can help optimize computer programs throughout the sciences. Taking a hands-on approach, this book provides an invaluable reference to practitioners, providing the necessary details required for a successful application of GP and its branches to challenging problems ranging from drought prediction to trading volatility. It also demonstrates the evolution of GP through major developments in GP studies and applications. It is suitable for advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas, as well as experienced practitioners looking to apply GP to new areas. The book also offers valuable supplementary material for design courses and computation in engineering.
Weitere Informationen:
Author:
Amir H. Gandomi; Amir H. Alavi; Conor Ryan
Verlag:
Springer International Publishing
Sprache:
eng
Weitere Suchbegriffe: Datenbanken (Fachbücher), Datenbankenbücher, bücher für datenbanken - englischsprachig, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Engineering modeling, Evolutionary computation, Formulation, Gene expression programming, Genetic programming, Genetically improved software, Key applications, Real-world problems
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