Open access peer-reviewed Edited Volume

Genetic Programming

New Approaches and Successful Applications

Edited by Sebastian Ventura Soto

University of Córdoba, Spain

Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producing a number of human-competitive results and even patentable new inventions. And, as other areas in Computer Science, GP continues evolving quickly, with new ideas, techniques and applications being constantly proposed. The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems. The volume is primarily aimed at postgraduates, researchers and academics, although it is hoped that it may be useful to undergraduates who wish to learn about the leading techniques in GP.

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Genetic ProgrammingNew Approaches and Successful ApplicationsEdited by Sebastian Ventura Soto

Published: October 18th 2012

DOI: 10.5772/3102

ISBN: 978-953-51-0809-2

eBook (PDF) ISBN: 978-953-51-5699-4

Copyright year: 2012

Books open for chapter submissions

27958 Total Chapter Downloads

17 Crossref Citations

16 Web of Science Citations

29 Dimensions Citations


Open access peer-reviewed

1. Using Quantitative Genetics and Phenotypic Traits in Genetic Programming

By Uday Kamath, Jeffrey K. Bassett and Kenneth A. De Jong


Open access peer-reviewed

2. Continuous Schemes for Program Evolution

By Cyril Fonlupt, Denis Robilliard and Virginie Marion-Poty


Open access peer-reviewed

3. Programming with Annotated Grammar Estimation

By Yoshihiko Hasegawa


Open access peer-reviewed

4. Genetically Programmed Regression Linear Models for Non-Deterministic Estimates

By Guilherme Esmeraldo, Robson Feitosa, Dilza Esmeraldo and Edna Barros


Open access peer-reviewed

5. Parallel Genetic Programming on Graphics Processing Units

By Douglas A. Augusto, Heder S. Bernardino and Helio J.C. Barbosa


Open access peer-reviewed

6. Structure-Based Evolutionary Design Applied to Wire Antennas

By Giovanni Andrea Casula and Giuseppe Mazzarella


Open access peer-reviewed

7. Dynamic Hedging Using Generated Genetic Programming Implied Volatility Models

By Fathi Abid, Wafa Abdelmalek and Sana Ben Hamida


Open access peer-reviewed

8. The Usage of Genetic Methods for Prediction of Fabric Porosity

By Polona Dobnik Dubrovski and Miran Brezočnik


Open access peer-reviewed

9. Genetic Programming: A Novel Computing Approach in Modeling Water Flows

By Shreenivas N. Londhe and Pradnya R. Dixit


Open access peer-reviewed

10. Genetic Programming: Efficient Modeling Tool in Hydrology and Groundwater Management

By J. Sreekanth and Bithin Datta


Open access peer-reviewed

11. Comparison Between Equations Obtained by Means of Multiple Linear Regression and Genetic Programming to Approach Measured Climatic Data in a River

By M.L. Arganis, R. Val, R. Domínguez, K. Rodríguez, J. Dolz and J.M. Eaton


Open access peer-reviewed

12. Inter-Comparison of an Evolutionary Programming Model of Suspended Sediment Time-Series with Other Local Models

By M. A. Ghorbani, R. Khatibi, H. Asadi and P. Yousefi


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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