Genetic Programming Bibliography entries for Kenneth C Sharman

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GP coauthors/coeditors: Eva Alfaro-Cid, Anna Esparcia-Alcazar, Alberto Cuesta Canada, Antonio M Mora Garcia, Juan Julian Merelo, Pedro A Castillo Valdivieso, Alberto Prieto Espinosa, Juan L J Laredo, Francisco Fernandez de Vega, Pilar Moya, Beatriu Femenia-Ferrer, Jaime Primo, Yun Li, Daniel Lombrana Gonzalez Rodriguez, Leonardo Trujillo, Gustavo Olague, Miguel Cardenas Montes, Lourdes Araujo, Arlindo Ferreira da Silva, Gary J Gray, David James Murray-Smith, Thomas Weinbrenner,

Genetic Programming Articles by Kenneth C Sharman

  1. Eva Alfaro-Cid and Ken Sharman and Anna I. Esparcia-Alcazar. Genetic programming and serial processing for time series classification. Evolutionary Computation, 22(2):265-285, 2014. details

  2. Eva Alfaro-Cid and J. J. Merelo and Francisco Fernandez de Vega and Anna I. Esparcia-Alcazar and Ken Sharman. Bloat Control Operators and Diversity in Genetic Programming: A Comparative Study. Evolutionary Computation, 18(2):305-332, 2010. details

  3. Gary J. Gray and David J. Murray-Smith and Yun Li and Ken C. Sharman and Thomas Weinbrenner. Nonlinear model structure identification using genetic programming. Control Engineering Practice, 6(11):1341-1352, 1998. details

  4. Gary J. Gray and Yun Li and D. J. Murray-Smith and K. C. Sharman. Structural system identification using genetic programming and a block diagram oriented simulation tool. Electronics Letters, 32(15):1422-1424, 1996. details

Genetic Programming conference papers by Kenneth C Sharman

  1. Daniel Lombrana Gonzalez and Francisco Fernandez de Vega and Leonardo Trujillo and Gustavo Olague and Lourdes Araujo and Pedro Castillo and Juan Julian Merelo and Ken Sharman. Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization. In 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing, pages 419-423, Weimar, Germany, 2009. details

  2. Eva Alfaro-Cid and Anna Esparcia-Alcazar and Pilar Moya and J. J. Merelo and Beatriu Femenia-Ferrer and Ken Sharman and Jaime Primo. Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser. In Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore editors, GECCO-2009 Symbolic regression and modeling workshop (SRM), pages 2225-2230, Montreal, 2009. ACM. details

  3. Eva Alfaro-Cid and Anna I. Esparcia-Alc\'azar and Pilar Moya and Beatriu Femenia-Ferrer and Ken Sharman and J. J. Merelo. Modeling Pheromone Dispensers Using Genetic Programming. In Mario Giacobini and Anthony Brabazon and Stefano Cagnoni and Gianni A. Di Caro and Anik\'o Ek\'art and Anna Esparcia-Alc\'azar and Muddassar Farooq and Andreas Fink and Penousal Machado and Jon McCormack and Michael O'Neill and Ferrante Neri and Mike Preuss and Franz Rothlauf and Ernesto Tarantino and Shengxiang Yang editors, Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, volume 5484, pages 635-644, Tubingen, Germany, 2009. Springer. details

  4. Eva Alfaro-Cid and Antonio Miguel Mora and Juan Juli\'an Merelo Guerv\'os and Anna Esparcia-Alc\'azar and Ken Sharman. A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction Problem. In Mario Giacobini and Anthony Brabazon and Stefano Cagnoni and Gianni Di Caro and Rolf Drechsler and Anik\'o Ek\'art and Anna Esparcia-Alc\'azar and Muddassar Farooq and Andreas Fink and Jon McCormack and Michael O'Neill and Juan Romero and Franz Rothlauf and Giovanni Squillero and Sima Uyar and Shengxiang Yang editors, Proceedings of EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Applications of Evolutionary Computing, EvoWorkshops, volume 4974, pages 123-132, Naples, 2008. Springer. details

  5. Antonio M. Mora Garcia and Pedro A. Castillo Valdivieso and Juan J. Merelo Guervos and Eva Alfaro Cid and Anna I. Esparcia-Alcazar and Ken Sharman. Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1243-1250, Atlanta, GA, USA, 2008. ACM. details

  6. Daniel Lombrana Gonzalez and Francisco Fernandez de Vega and L. Trujillo and G. Olague and M. Cardenas and L. Araujo and P. Castillo and K. Sharman and A. Silva. Interpreted Applications within BOINC Infrastructure. In Fernando Silva and Gaspar Barreira and Ligia Ribeiro editors, IBERGRID 2nd Iberian Grid Infrastructure Conference Proceedings, pages 261-272, Porto, Portugal, 2008. netbiblo.com. details

  7. E. Alfaro-Cid and P. A. Castillo and A. Esparcia and K. Sharman and J. J. Merelo and A. Prieto and J. L. J. Laredo. Comparing Multiobjective Evolutionary Ensembles for Minimizing Type I and II Errors for Bankruptcy Prediction. In Jun Wang editor, 2008 IEEE World Congress on Computational Intelligence, pages 2902-2908, Hong Kong, 2008. IEEE Press. details

  8. Eva Alfaro-Cid and Anna Esparcia-Alcazar and Ken Sharman and Francisco Fernandez de Vega and J. J. Merelo. Prune and Plant: A New Bloat Control Method for Genetic Programming. In Eighth International Conference on Hybrid Intelligent Systems, HIS '08, pages 31-35, 2008. details

  9. Eva Alfaro Cid and Ken Sharman and Anna I. Esparcia Alc\'azar and Alberto Cuesta Ca\~nada. Aprendizaje autom\'atico con programaci\'on gen\'etica. In Actas del V Congreso Espa\~nol sobre Metaheur\'isticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07), pages 819-826, Tenerife, Spain, 2007. details

  10. Eva Alfaro Cid and Ken Sharman and Anna I. Esparcia Alc\'azar. Predicci\'on de quiebra empresarial usando programaci\'on gen\'etica. In Actas del V Congreso Espa\~nol sobre Metaheur\'isticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07), pages 703-710, Tenerife, Spain, 2007. details

  11. Eva Alfaro-Cid and Ken Sharman and Anna I. Esparcia-Alc\`azar. A genetic programming approach for bankruptcy prediction using a highly unbalanced database. In Mario Giacobini and Anthony Brabazon and Stefano Cagnoni and Gianni A. Di Caro and Rolf Drechsler and Muddassar Farooq and Andreas Fink and Evelyne Lutton and Penousal Machado and Stefan Minner and Michael O'Neill and Juan Romero and Franz Rothlauf and Giovanni Squillero and Hideyuki Takagi and A. Sima Uyar and Shengxiang Yang editors, Applications of Evolutionary Computing, EvoWorkshops2007: EvoCOMNET, EvoFIN, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOC, EvoTransLog, volume 4448, pages 169-178, Valencia, Spain, 2007. Springer Verlag. details

  12. Eva Alfaro-Cid and Anna Esparcia-Alc\'azar and Ken Sharman. Using distributed genetic programming to evolve classifiers for a brain computer interface. In Michel Verleysen editor, ESANN'2006 proceedings - European Symposium on Artificial Neural Networks, pages 59-66, Bruges, Belgium, 2006. details

  13. Eva Alfaro-Cid and Ken Sharman and Anna I. Esparcia-Alcazar. Evolving a Learning Machine by Genetic Programming. In Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 958-962, Vancouver, 2006. IEEE Press. details

  14. Eva Alfaro-Cid and Anna Esparcia-Alc\'azar and Ken Sharman. Clasificaci\'on de Senales de Electroencefalograma Usando Programaci\'on Gen\'etica. In Actas del IV Congreso Espanol sobre Metaheur\'isticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05), Granada, Spain, 2005. details

  15. Anna Esparcia-Alcazar and Ken Sharman. Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance Schemes. In Riccardo Poli and Peter Nordin and William B. Langdon and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'99, volume 1598, pages 49-64, Goteborg, Sweden, 1999. Springer-Verlag. details

  16. Anna Esparcia-Alcazar and Ken Sharman. Genetic Programming for Channel Equalisation. In Riccardo Poli and Hans-Michael Voigt and Stefano Cagnoni and Dave Corne and George D. Smith and Terence C. Fogarty editors, Evolutionary Image Analysis, Signal Processing and Telecommunications: First European Workshop, EvoIASP'99 and EuroEcTel'99, volume 1596, pages 126-137, Goteborg, Sweden, 1999. Springer-Verlag. details

  17. G. J. Gray and T. Weinbrenner and D. J. Murray-Smith and Y. Li and K. C. Sharman. Issues in Nonlinear Model Structure Identification Using Genetic Programming. In Ali Zalzala editor, Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, GALESIA, pages 308-313, University of Strathclyde, Glasgow, UK, 1997. Institution of Electrical Engineers. details

  18. Anna I. Esparcia-Alcazar and Ken Sharman. Evolving Recurrent Neural Network Architectures by Genetic Programming. In John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 89-94, Stanford University, CA, USA, 1997. Morgan Kaufmann. details

  19. Gary J. Gray and David J. Murray-Smith and Yun Li and Ken C. Sharman. Nonlinear Structural System Identification Using Genetic Programming. In Inge Troch and Felix Breitenecker editors, Proceedings of Second International Symposium on Mathematical modelling, pages 301-306, Technical University Vienna, Austria, 1997. details

  20. Anna I. Esparcia-Alcazar and Ken Sharman. Learning Schemes for Genetic Programming. In John R. Koza editor, Late Breaking Papers at the 1997 Genetic Programming Conference, pages 57-65, Stanford University, CA, USA, 1997. Stanford Bookstore. details

  21. Gary J. Gray and David J. Murray-Smith and Yun Li and Ken C. Sharman. Nonlinear Model Structure Identification Using Genetic Programming. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 32-37, Stanford University, CA, USA, 1996. Stanford Bookstore. details

  22. Anna I. Esparcia-Alcazar and Kenneth C. Sharman. Genetic Programming Techniques that Evolve Recurrent Neural Networks Architectures for Signal Processing. In IEEE Workshop on Neural Networks for Signal Processing, pages 139-148, Seiko, Kyoto, Japan, 1996. IEEE. details

  23. Anna I. Esparcia Alcazar and Ken C. Sharman. Some Applications of Genetic Programming in Digital Signal Processing. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 24-31, Stanford University, CA, USA, 1996. Stanford Bookstore. details

  24. Ken C. Sharman and Anna I. Esparcia Alcazar and Yun Li. Evolving Signal Processing Algorithms by Genetic Programming. In A. M. S. Zalzala editor, First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, GALESIA, volume 414, pages 473-480, Sheffield, UK, 1995. IEE. details

  25. Ken C. Sharman and Anna I. Esparcia-Alcazar. Genetic Evolution of Symbolic Signal Models. In Proceedings of the Second International Conference on Natural Algorithms in Signal Processing, NASP'93, Essex University, UK, 1993. details

Genetic Programming book chapters by Kenneth C Sharman

Genetic Programming technical reports by Kenneth C Sharman

  1. G. J. Gray and Yun Li and D. J. Murray-Smith and K. C. Sharman. Structural System Identification Using Genetic Programming and a Block Diagram Oriented Simulation Tool. Technical Report , CSC-96003, Department of Electronics and Electrical Engineering, University of Glasgow, Glasgow, G12 8QQ, U.K., 1996. Submitted to: Electronics Letters. details

  2. Anna I. Esparcia-Alcazar and Ken C. Sharman. Application of Genetic Programming to Signal Processing Problems. Technical Report , CSC-96010, Faculty of Engineering, Glasgow G12 8QQ, Scotland, 1996. details

  3. Anna I. Esparcia-Alcazar and Ken C. Sharman. Evolving Recurrent Neural Network Architectures by Genetic Programming. Technical Report , CSC-96009, Faculty of Engineering, Glasgow G12 8QQ, Scotland, 1996. details

  4. K. C. Sharman and A. I. Esparcia-Alcazar and Y. Li. Evolving Digital Signal Processing Algorithms by Genetic Programming. Technical Report , CSC-95012, Faculty of Engineering, Glasgow G12 8QQ, Scotland, 1995. details