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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Overview of Genetic Programming Applications
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- Penousal Machado, João Correia, Filipe Assunção
Pages 3-36
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- E. Fallah-Mehdipour, O. Bozorg Haddad
Pages 59-70
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- A. Zahiri, A. A. Dehghani, H. Md. Azamathulla
Pages 71-97
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- Renu Vyas, Purva Goel, Sanjeev S. Tambe
Pages 99-140
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- Seyyed Soheil Sadat Hosseini, Alireza Nemati
Pages 141-154
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- António Leitão, Penousal Machado
Pages 155-177
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Specialized Applications
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Front Matter
Pages 179-179
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- Stanisław Deniziak, Leszek Ciopiński, Grzegorz Pawiński
Pages 221-244
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- Conor Ryan, Jeannie Fitzgerald, Krzysztof Krawiec, David Medernach
Pages 245-287
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- Mehdi Mousavi, Alireza Azarbakht, Sahar Rahpeyma, Ali Farhadi
Pages 289-307
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- Pradyut Kumar Muduli, Sarat Kumar Das
Pages 309-343
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- Pijush Samui, Yıldırım Dalkiliç, J Jagan
Pages 345-357
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- Hamed Koohpayehzadeh Esfahani, Bithin Datta
Pages 359-379
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- Rajib Maity, Kironmala Chanda
Pages 381-398
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- J. M. Luna, A. Cano, S. Ventura
Pages 431-450
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
