Overview
- Editors:
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Amir H. Gandomi
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BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, USA
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Amir H. Alavi
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Department of Civil & Environmental Engineering, Michigan State University, East Lansing, USA
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Conor Ryan
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Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland
Reviews the latest developments in genetic programing methodologies
Focuses on the key applications of genetic programming and its variants
Combines genetic programming theory with real-world applications
Provides a timely literature and an insightful summary of major developments
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Table of contents (23 chapters)
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Specialized Applications
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- Ali Vahdat, Jillian Morgan, Andrew R. McIntyre, Malcolm I. Heywood, Nur Zincir-Heywood
Pages 451-480
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Hybrid Approaches
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Front Matter
Pages 481-481
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- Mohammed S. Hussain, Alireza Ahangar-asr, Youliang Chen, Akbar A. Javadi
Pages 483-499
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- Partha Pratim Roy, Supratim Ray, Kunal Roy
Pages 501-529
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Tools
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Front Matter
Pages 549-549
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- José Carlos Bregieiro Ribeiro, Ana Filipa Nogueira, Francisco Fernández de Vega, Mário Alberto Zenha-Rela
Pages 575-593
About this book
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.
Reviews
“The editors of this handbook have done a good job in producing a consistent book despite the diversity of topics and contributions. The chapters of the book are self-contained and may be read independently of other chapters. … I strongly recommend this handbook for engineers, practitioners, computer science researchers, and libraries. It will be suitable for advanced students for selecting research problems. It will surely help experienced practitioners seeking to apply GP to new areas.” (S. V. Nagaraj, Computing Reviews, February, 2017)
Editors and Affiliations
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BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, USA
Amir H. Gandomi
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Department of Civil & Environmental Engineering, Michigan State University, East Lansing, USA
Amir H. Alavi
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Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland
Conor Ryan