Handbook of Genetic Programming Applications

1. Front Matter

   Pages i-xi

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2. Overview of Genetic Programming Applications

   1. Front Matter

      Pages 1-1

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   2. Graph-Based Evolutionary Art

      • Penousal Machado, João Correia, Filipe Assunção

      Pages 3-36

   3. Genetic Programming for Modelling of Geotechnical Engineering Systems

      • Mohamed A. Shahin

      Pages 37-57

   4. Application of Genetic Programming in Hydrology

      • E. Fallah-Mehdipour, O. Bozorg Haddad

      Pages 59-70

   5. Application of Gene-Expression Programming in Hydraulic Engineering

      • A. Zahiri, A. A. Dehghani, H. Md. Azamathulla

      Pages 71-97

   6. Genetic Programming Applications in Chemical Sciences and Engineering

      • Renu Vyas, Purva Goel, Sanjeev S. Tambe

      Pages 99-140

   7. Application of Genetic Programming for Electrical Engineering Predictive Modeling: A Review

      • Seyyed Soheil Sadat Hosseini, Alireza Nemati

      Pages 141-154

   8. Mate Choice in Evolutionary Computation

      • António Leitão, Penousal Machado

      Pages 155-177

3. Specialized Applications

   1. Front Matter

      Pages 179-179

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   2. Genetically Improved Software

      • William B. Langdon

      Pages 181-220

   3. Design of Real-Time Computer-Based Systems Using Developmental Genetic Programming

      • Stanisław Deniziak, Leszek Ciopiński, Grzegorz Pawiński

      Pages 221-244

   4. Image Classification with Genetic Programming: Building a Stage 1 Computer Aided Detector for Breast Cancer

      • Conor Ryan, Jeannie Fitzgerald, Krzysztof Krawiec, David Medernach

      Pages 245-287

   5. On the Application of Genetic Programming for New Generation of Ground Motion Prediction Equations

      • Mehdi Mousavi, Alireza Azarbakht, Sahar Rahpeyma, Ali Farhadi

      Pages 289-307

   6. Evaluation of Liquefaction Potential of Soil Based on Shear Wave Velocity Using Multi-Gene Genetic Programming

      • Pradyut Kumar Muduli, Sarat Kumar Das

      Pages 309-343

   7. Site Characterization Using GP, MARS and GPR

      • Pijush Samui, Yıldırım Dalkiliç, J Jagan

      Pages 345-357

   8. Use of Genetic Programming Based Surrogate Models to Simulate Complex Geochemical Transport Processes in Contaminated Mine Sites

      • Hamed Koohpayehzadeh Esfahani, Bithin Datta

      Pages 359-379

   9. Potential of Genetic Programming in Hydroclimatic Prediction of Droughts: An Indian Perspective

      • Rajib Maity, Kironmala Chanda

      Pages 381-398

   10. Application of Genetic Programming for Uniaxial and Multiaxial Modeling of Concrete

       • Saeed K. Babanajad

       Pages 399-430

   11. Genetic Programming for Mining Association Rules in Relational Database Environments

       • J. M. Luna, A. Cano, S. Ventura

       Pages 431-450

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.

• Engineering modeling
• Evolutionary computation
• Formulation
• Gene expression programming
• Genetic programming
• Genetically improved software
• Key applications
• Real-world problems
• Simulation
• Symbolic regression

“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)

• BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, USA

  Amir H. Gandomi

• Department of Civil & Environmental Engineering, Michigan State University, East Lansing, USA

  Amir H. Alavi

• Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland

  Conor Ryan

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