Dr. Ken Sharman, Publications

[1] Eva Alfaro-Cid, Ken Sharman, and Anna I. Esparcia Alcázar. Genetic programming and serial processing for time series classification. Evolutionary Computation, 22, 2:265-285, Summer 2014.
[2] Anna I Esparcia-Alcázar, Eva Alfaro-Cid, Pablo García-Sánchez, Anaís Martínez-García, J.J. Merelo, and Ken Sharman. An evolutionary approach to integrated inventory and routing management in a real world case. In Proceedings of the 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, 18 - 23 July 2010. IEEE Press.
[3] E. Alfaro-Cid, J. J. Merelo, F. Fernández de Vega, A. I. Esparcia-Alcázar, and K. Sharman. Bloat control operators and diversity in genetic programming: a comparative study. Evolutionary Computation, 18(2):305-332, 2010. ISSN: 1063-6560.
[ http ]
[4] Anna I. Esparcia Alcázar, Anaís Martínez García, J.J. Merelo, Pablo García Sánchez, Eva Alfaro Cid, and Ken Sharman. Comparing single and multiobjective evolutionary approaches to the inventory and transportation problem. August 2009.
[ .pdf ]
[5] Eva Alfaro-Cid, Anna I. Esparcia-Alcázar, Pilar Moya, J.J. Merelo, Beatriu Femenia-Ferrer, Ken Sharman, and Jaime Primo. Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser. In Gunther Raidl, editor, Workshop on Symbolic Regression and Modeling at the Genetic and Evolutionary Computing Conference 2009, (GECCO-2009), pages 2225-2230, Montreal, Canada, July 2009. ACM Press. ISBN: 978-1-60558-325-9.
[6] Eva Alfaro-Cid, Anna I. Esparcia-Alcázar, Pilar Moya, Beatriu Femenia-Ferrer, Ken Sharman, and J.J. Merelo. Modeling pheromone dispensers using genetic programming. In M. Giacobini and et al., editors, Proceedings of 2nd European Workshop on Bio-inspired algorithms for continuous parameter optimisation (EvoNUM'09), volume 5484 of Lecture Notes in Computer Science, pages 635-644, Tübingen, Germany, April 2009. Springer-Verlag. ISBN: 978-3-642-01128-3.
[ http ]
[7] Anna I. Esparcia Alcázar, Anaís Martínez García, J.J. Merelo, Pablo García Sánchez, Eva Alfaro Cid, Manuel Cardós, and Ken Sharman. Comparación de heurísticas de resolución del VRP y enfoques multi y monoobjetivo para el problema de transporte e inventario. In Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), pages 131-138, Malaga, Spain, February 2009. ISBN: 978-84-691-66813-4.
[8] Eva Alfaro Cid, Anna I. Esparcia Alcázar, Pilar Moya Sanz, Beatriu Femenia Ferrer, Ken Sharman, and J.J. Merelo. Modelado de las cinéticas de emisión de difusores de feromona mediante programación genética. In Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), pages 123-130, Malaga, Spain, February 2009. ISBN: 978-84-691-66813-4.
[9] Daniel Lombra�a González, Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, Lourdes Araujo, Pedro Castillo, Juan Julián Merelo Guervós, and Ken Sharman. Obtención de recursos computacionales para PG utilizando desktop GRID computing y virtualización. In Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), pages 563-570, Malaga, Spain, February 2009. ISBN: 978-84-691-66813-4.
[10] Daniel Lombra�a González, Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, Lourdes Araujo, Pedro Castillo, Juan Julián Merelo Guervós, and Ken Sharman. Increasing GP computing power for free via desktop GRID computing and virtualization. In Proc. 17th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP2009), pages 419-427, Weimar, Germany, February 2009. IEEE Computer Society.
[11] A. I. Esparcia-Alcázar, M. Cardós, JJ Merelo, A.I. Martínez-García, P. García-Sánchez, E. Alfaro-Cid, and K. Sharman. EVITA: an integral evolutionary methodology for the Inventory and Transportation Problem. In Francisco B. Pereira and Jorge Tavares, editors, Bio-Inspired Algorithms for the Vehicle Routing Problem, volume 161 of Studies in Computational Intelligence Series, pages 151-172. Springer, 2009. ISBN: 978-3-540-85151-6.
[ http ]
[12] E. Alfaro-Cid, A. M. Mora, J. J. Merelo, A. I. Esparcia-Alcázar, and K. Sharman. Finding relevant variables in a financial distress prediction problem using Genetic Programming and Self-Organizing Maps. In A. Brabazon and M. O'Neill, editors, Natural Computing in Computational Finance, Volume 2, volume 185 of Studies in Computational Intelligence Series. Springer, 2009. ISBN: 978-3-540-95973-1.
[13] Daniel Lombra�a Gonz�lez, Francisco Fern�ndez de Vega, L. Trujillo, G. Olague, M. C�rdenas, L. Araujo, P. Castillo, K. Sharman, and A. Silva. Interpreted applications within BOINC infrastructure. In Ibergrid 2008, pages 261-272, Porto, Portugal, May 2008. ISBN: 978-84-9745-2885.
[14] Eva Alfaro-Cid, Antonio Mora, J.J. Merelo, Anna Esparcia-Alcázar, and Ken Sharman. A SOM and GP tool for reducing the dimensionality of a financial distress prediction problem. In Mario Giacobini et al., editor, Proceedings of the Second European Workshop on Evolutionary Computation in Finance and Economics (EvoFIN'08), volume 4974 of Lecture Notes in Computer Science, pages 123-132, Naples, Italy, March 2008. Springer-Verlag. ISBN: 978-3-540-78760-0.
[ http ]
[15] A. Esparcia-Alcázar, A. Martínez-García, J. Albarracín-Guillem, Palmer-Gato M., J. Merelo, K. Sharman, and E. Alfaro-Cid. A multiobjective evolutionary algorithm for the linear shelf space allocation problem. In Proc. 10'th Int. Conf. on Parallel Problem Solving from Nature (PPSN2008), volume LNCS 5199, pages 1001-1010. Springer, 13-17 September 2008. ISBN: 978-3-540-87699-1.
[16] J. Merelo, A. Mora, P. Castillo, J. Laredo, L. Araujo, K. Sharman, A. Esparcia-Alcázar, E. Alfaro-Cid, and C. Cotta. Testing the intermediate disturbance hypothesis: Effect of asynchronous population incorporation on multi-deme evolutionary algorithms. In Proc. 10'th Int. Conf. on Parallel Problem Solving from Nature (PPSN2008), volume LNCS 5199, pages 266-275. Springer, 13-17 September 2008. ISBN: 978-3-540-87699-1.
[17] Eva Alfaro-Cid, Anna I. Esparcia-Alcázar, Ken Sharman, Francisco Fernández de Vega, and J.J. Merelo. Prune and plant: a new bloat control method for genetic programming. In Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS2008), pages 31-35, Barcelona, Spain, 10-12 September 2008.
[18] Antonio Mora, Eva Alfaro-Cid, Pedro A. Castillo, J.J. Merelo, Anna I. Esparcia-Alcázar, and Ken Sharman. Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks. In Maarten Keijzer et al., editor, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2008), pages 1243-1250, Atlanta, USA, 12-16 July 2008. ACM. ISBN: 978-1-60558-130-9.
[ .pdf ]
[19] Eva Alfaro-Cid, Pedro A. Castillo, Anna Esparcia-Alcázar, Ken Sharman, J.J. Merelo, A. Prieto, Antonio M. Mora, and J.L.J. Laredo. Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy prediction. In Jun Wang., editor, WCCI Proceedings - IEEE Congress on Evolutionary Computation (CEC 2008), pages 2907-2913, Hong Kong, 1-6 June 2008. IEEE Computational Intelligence Society, IEEE Press. ISBN 978-1-4244-1823-7.
[20] E. Alfaro-Cid, A. Cuesta-Ca�ada, K. Sharman, and A. I. Esparcia-Alcázar. Strong typing, variable reduction and bloat control for solving the bankruptcy prediction problem using genetic programming. In A. Brabazon and M. O'Neill, editors, Natural Computing in Computational Finance, volume 100 of Studies in Computational Intelligence Series, pages 161-186. Springer, 2008. ISBN: 978-3-540-77476-1.
[ http ]
[21] Eva Alfaro Cid, Alberto Cuesta Ca�ada, Ken Sharman, and Anna Esparcia Alcázar. Tipado fuerte y preselección de variables en el problema de la predicción de quiebra empresarial mediante programación genética. In Enrique Alba et al., editor, Actas de las Jornadas de Algoritmos Evolutivos y Metaheur�sticas - II Congreso Espa�ol de Informática, CEDI'07, pages 33-40, Zaragoza, Spain, September 2007. Thomson. ISBN: 978-84-9732-614-8.
[22] Alberto Cuesta Ca�ada, Eva Alfaro Cid, Ken Sharman, and Anna Esparcia Alcázar. Análisis de la topología de una red newscast. In Ignacio Rojas and Héctor Pomares, editors, Actas del Simposio de Inteligencia Computacional - II Congreso Espa�ol de Informática, CEDI'07, pages 459-466, Zaragoza, Spain, September 2007.
[23] Anna I. Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, and JJ Merelo. Configuring an evolutionary tool for the inventory and transportation problem. In Maarten Keijzer et al., editor, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2007, volume II, pages 1975-1982, London, England, July 2007. ACM Press. ISBN: 978-1-59593-697-4.
[24] Francesc Benimeli and Ken Sharman. Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines. In M. Verleysen, editor, Proceedings of the 15th European Symposium on Artificial Neural Networks, ESANN'07, pages 361-366, Bruges, Belgium, April 2007. d-side publications. ISBN: 2-930307-07-2.
[ .pdf ]
[25] Eva Alfaro-Cid, Ken Sharman, and Anna Esparcia-Alcázar. A genetic programming approach for bankruptcy prediction using a highly unbalanced database. In Mario Giacobini et al., editor, Proceedings of the First European Workshop on Evolutionary Computation in Finance and Economics (EvoFIN�07), volume 4448 of Lecture Notes in Computer Science, pages 169-178, Valencia, Spain, April 2007. Springer-Verlag. ISBN: 978-3-540-71804-8.
[ http ]
[26] Eva Alfaro Cid, Alberto Cuesta Ca�ada, Anna I. Esparcia Alcázar, and Ken Sharman. Nadeweb: Nuevos algoritmos distribuidos y evolutivos en la web. Actualidad TIC (ISSN: 1696-5876), (12):9-11, Mayo 2007.
[27] Anna I. Esparcia Alcázar, Lidia Lluch Revert, Ken Sharman, José Miguel Albarracín Guillem, Marta E Palmer-Gato, and M Eugenia Babiloni Griñón. ELiSSA: Una herramienta evolutiva para ubicación de productos en estanterías. In Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07), pages 687-694, Tenerife, Spain, Febrero 2007. ISBN: 978-84-690-3470-5.
[28] Eva Alfaro Cid, Ken Sharman, and Anna I. Esparcia Alcázar. Predicción de quiebra empresarial usando programación genética. In Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07), pages 703-710, Tenerife, Spain, Febrero 2007. ISBN: 978-84-690-3470-5.
[29] Anna I. Esparcia Alcázar, Lidia Lluch Revert, Manuel Cardós, Ken Sharman, and Carlos Andrés-Romano. Configuración de una herramienta evolutiva para el problema de transporte e inventario. In Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07), pages 1-8, Tenerife, Spain, Febrero 2007. ISBN: 978-84-690-3470-5.
[30] Eva Alfaro Cid, Ken Sharman, Anna I. Esparcia Alcázar, and Alberto Cuesta Cañada. Aprendizaje automático con programación genética. In Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07), pages 819-826, Tenerife, Spain, Febrero 2007. ISBN: 978-84-690-3470-5.
[31] Alberto Cuesta Cañada, Ken Sharman, Anna I. Esparcia Alcázar, and Eva Alfaro Cid. Implementación de algoritmos distribuidos para un entorno de distribución epidémica. In Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'07), pages 159-166, Tenerife, Spain, Febrero 2007. ISBN: 978-84-690-3470-5.
[32] Anna I. Esparcia-Alcázar, Lidia Lluch-Revert, José Miguel Albarracín-Guillem, Marta E Palmer-Gato, and Ken Sharman. Towards an evolutionary tool for the allocation of supermarket shelf space. In Maarten Keijzer et al., editor, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2006, volume 2, pages 1653-1660, Seattle, USA, July 2006. ACM Press. ISBN: 1-59593-184-4.
[33] Eva Alfaro-Cid, Ken Sharman, and Anna Esparcia-Alcázar. Evolving a learning machine by genetic programming. In Piero Bonissone Gary Yen, Lipo Wang and Simon Lucas, editors, Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2006, pages 958-962, Vancouver, Canada, July 2006. IEEE, Omnipress. ISBN: 0-7803-9489-5.
[34] Anna I. Esparcia-Alcázar, Lidia Lluch-Revert, José Miguel Albarracín-Guillem, Marta E Palmer-Gato, and Ken Sharman. An evolutionary algorithm for the product to shelf allocation problem. In Piero Bonissone Gary Yen, Lipo Wang and Simon Lucas, editors, Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2006, pages 10966-10972, Vancouver, Canada, July 2006. IEEE, Omnipress. ISBN: 0-7803-9489-5.
[35] Anna I. Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, and Carlos Andrés-Romano. A comparison of routing algorithms in a hybrid evolutionary tool for the inventory and transportation problem. In Piero Bonissone Gary Yen, Lipo Wang and Simon Lucas, editors, Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2006, pages 5605-5611, Vancouver, Canada, July 2006. IEEE, Omnipress. ISBN: 0-7803-9489-5.
[36] Anna I. Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, and Carlos Andrés-Romano. Design of a retail chain stocking up policy with a hybrid evolutionary algorithm. In J. Gottlieb and G.R. Raidl, editors, EvoCOP 2006, volume 3906 of Lecture Notes in Computer Science, pages 49-60. Springer, April 2006. ISBN: 3-540-33178-6.
[ http ]
[37] Eva Alfaro-Cid, Anna Esparcia-Alcázar, and Ken Sharman. Using distributed genetic programming to evolve classifiers for a brain computer interface. In Proceedings of the 14 th European Symposium on Artificial Neural Networks, ESANN'06, pages 59-64, Bruges, Belgium, April 2006. d-side publications. ISBN 2 930307 06 4.
[ .pdf ]
[39] Eva Alfaro-Cid, Anna Esparcia-Alcázar, and Ken Sharman. Clasificaciòn de seales de electroencefalograma usando programaciòn genètica. In Proceedings of the IV Congreso Español sobre Metaheurìsticas, Algoritmos Evolutivos y Bioinspirados MAEB'05), Granada, Spain, September 2005.
[39] Eva Alfaro-Cid, Anna Esparcia-Alcázar, and Ken Sharman. Clasificaciòn de seales de electroencefalograma usando programaciòn genètica. In Proceedings of the IV Congreso Español sobre Metaheurìsticas, Algoritmos Evolutivos y Bioinspirados MAEB'05), Granada, Spain, September 2005.
[ .pdf ]
[40] Anna Esparcia-Alcázar and Ken Sharman. Algoritmos bio-inspirados en logística. Actualidad TIC (ISSN: 1696-5876), (5):4-7, Abril 2004.
[41] Anna Esparcia-Alcázar and Ken Sharman. Logística y algoritmos bio-inspirados. Publicación trimestral de la Asociación para el Desarrollo de la Logística, (35):10-12, Abril 2004.
[42] Ken Sharman and Anna Esparcia-Alcázar. Interfaz Cerebro-Computadora. Actualidad TIC (ISSN: 1696-5876), (3):4-7, 2004.
[ .pdf ]
[43] Ken Sharman and Anna Esparcia-Alcázar. Evolutionary Methods for Designing Digital Filters. Contemporary Music Review, 22(2):5-19, September 2003.
[ http ]
[44] E. R. Miranda, K. C. Sharman, K. Kilborn, and A. Duncan. On Harnessing the Electroencephalogram for the Musical Braincap. Computer Music Journal, 27:80-102, Summer 2003.
[45] G. Ruffini, M. Caparrini, F. Soulat, M. Martin-Neira, P. Silverstrin, and K. Sharman. Using gnss Reflections for Ionospheric Studies. In Space Weather Workshop, 2002.
[46] C. Slorach and K. Sharman. The Design and Implementation of Custom Architectures for Evolvable Hardware Using Off-the-Shelf Programmable Devices. In J. Miller, A. Thomson, P. Thomson, and T. Fogarty, editors, Evolvable Systems: From Biology to Hardware, ICES'2000, volume 1801 of Lecture Notes in Computer Science, pages 197-207, Edinburgh, Scotland, UK, April 2000. Springer.
[47] C. Slorach, S. Fulton, and K. Sharman. A Distributed, Scalable, Multi-Layered Approach to Evolvable Systems Design Using FPGA's. In P. Lysaght, J. Irvine, and R. Hartenstein, editors, Field-Programmable Logic and Applications, FPL'99, volume 1673 of Lecture Notes in Computer Science, pages 501-506, Glasgow, Scotland, UK, August 1999. Springer.
[48] C. Slorach, S. Fulton, and K. Sharman. A Distributed Approach to Evolvable System Design using FPGA's. In M. Torres, B. Sanchez, J. Corchado, and D. Andina, editors, Proceedings of 5th International Conference on Information Systems Analysis and Synthesis (IIIS), volume 3, Orlando, FL, USA, July 1999.
[49] A. I. Esparcia-Alcázar and K. C. Sharman. Genetic Programming for Channel Equalisation. In Proceedings of EvoIASP'99, Lecture Notes in Computer Science, pages 126-137, Gothenburg, Sweden, May 1999. Springer.
[ .pdf ]
[50] A. I. Esparcia-Alcázar and K. C. Sharman. Phenotype Plasticity in Genetic Programming: A comparison of Darwinian and Lamarckian inheritance schemes. In Proceedings of EuroGP'99, Lecture Notes in Computer Science, pages 49-64, Gothenburg, Sweden, May 1999. Springer.
[ .pdf ]
[51] S. Fulton and K. C. Sharman. A Timed Petri Net model of synchronisation in multi-channel distributed audio applications. In Postgraduate Research in Electronics, Photonics and Related Fields, pages 436-439, UMIST, Manchester, UK, January 1999.
[52] C. Slorach and K. C. Sharman. A novel single chip evolutionary hardware design using FPGAs. In John Schewel, editor, Proceedings of SPIE, Configurable Computing: Technology and Applications, volume 3526, pages 114-123, Boston, Mas., USA, November 1998.
[53] S. Fulton and K. C. Sharman. Time-varying filters for the synchronization of multi-channel audio. In Proceedings of IASTED International Conference on Signal and Image Processing �98, Las Vegas, Nevada, USA, October 1998.
[54] S. Sundaralingham, K. C. Sharman, and G. Gray. Genetic algorithms for evolving adaptive iir filters. In Proceedings of IMACS-CSC'98, pages 31-34, Greece, October 1998.
[55] S. Sundaralingam and K. C. Sharman. Evolving complex adaptive IIR structures. In Proceedings of the IXth European Signal Processing Conference, EUSIPCO-98, volume II, pages 753-756, Greece, September 1998.
[56] S. Sundaralingam and K. C. Sharman. Evolving filters in multipath environments. In V. W. Porto, N. Saravanan, D. Waagen, and A.E. Eiben, editors, Evolutionary Programming VII, Proc. of the 7th Intl. Conference, EP-98, volume 1447 of Lecture Notes in Computer Science, pages 397-407, San Diego, March 1998. Springer Verlag.
[ http ]
[57] G. J. Gray, D. J. Murray-Smith, Y. Li, K. C. Sharman, and Thomas Weinbrenner. Nonlinear model structure identification using genetic programming. Control Engineering Practice, 6:1341-1352, 1998.
[58] A. Duncan, E. R. Miranda, and K. C. Sharman. Mind the music: Towards thought-controlled music systems. In Proceedings of the V Brazilian Symposium on Computer Music, volume 3, pages 133-141, 1998.
[59] A. Duncan, E. R. Miranda, and K. C. Sharman. Towards a neuro-compatible interface for music research. In Journ�es d'Informatique Musicale, JIM'98, volume 148, pages F3-1-F3-6, 1998.
[60] S. Sundaralingam and K. C. Sharman. Genetic evolution of adaptive filters. In Proceedings of DSP UK, London, pages 47-53, London, December 1997.
[61] Gary J. Gray, Thomas Weinbrenner, David J. Murray-Smith, Yun Li, and Ken C. Sharman. Issues in nonlinear model structure identification using genetic programming. In Proceedings of the Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA97), volume 446 of Conference Series, pages 308-313, London, September 1997. Institution of Electrical Engineers.
[62] Gary J. Gray, Yun Li, David J. Murray-Smith, Eric Ronco, and Ken C. Sharman. The application of genetic algorithms to gain-scheduling controller analysis and design. In Proceedings of the Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA97), volume 446 of Conference Series, pages 364-368, London, September 1997. Institution of Electrical Engineers.
[63] A. I. Esparcia-Alcázar and KC Sharman. Learning schemes for genetic programming. In Late Breaking Papers at the Genetic Programming 97 Conference, pages 57-65, Stanford University, USA, July 1997.
[ .ps ]
[64] A. I. Esparcia-Alcázar and K.C. Sharman. Evolving recurrent neural network architectures by genetic programming. In JR Koza, K Deb, M Dorigo, D Fogel, M Garzon, H Iba, and RL Riolo, editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 89-94, Stanford University, USA, July 1997.
[ .ps ]
[65] Gary J. Gray, David J. Murray-Smith, Yun Li, and Ken C. Sharman. Nonlinear structural system identification using genetic programming. In Inge Troch and Felix Breitenecker, editors, Proceedings of the Second International Symposium on Mathematical modelling (MATHMOD), number 11 in ARGESIM Report Series, pages 301-306, Vienna, February 1997. ARGESIM.
[66] S. Sundaralingam and K. C. Sharman. Genetic evolution of adaptive filters. CSC Research Report CSC-97009, Centre for Systems and Control, University of Glasgow, 1997.
[67] C. Chambers, K. C. Sharman, T. S. Durrani, and T. C. Tozer. Temporal and spatial sampling influence on the estimates of superimposed narrowband signals: when less can mean more. IEEE Trans. on Signal Processing, 44(12):3085-3098, December 1996.
[ http ]
[68] A. I. Esparcia-Alcázar and KC Sharman. Genetic programming techniques that evolve recurrent neural network architectures for signal processing. In S. Usui, Y. Tohkura, S. Katagiri, and E. Wilson, editors, Neural Networks for Signal Processing VI - Proceedings of the 1996 IEEE Signal Processing Society Workshop, pages 139-148, Japan, September 1996.
[ http ]
[69] A Esparcia-Alcázar and K Sharman. Genetic evolution of recurrent neural network architectures. In Proceedings of the World Congress on Neural Networks, pages 1059-1062, International Neural Network Society Annual Meeting, San Diego CA, USA, September 1996. Lawrence Erlbaum Associates. ISBN # 0-8058-2608-4.
[70] G. J. Gray, D. J. Murray-Smith, Y. Li, and K. C. Sharman. Nonlinear system modelling using output error estimation of a local model network. In Proc. of Society for Computer Simulation Summer Computer Simulation Conference (SCSC '96), Portland, Oregon, July 1996.
[71] A. I. Esparcia-Alcázar and K. C. Sharman. Some applications of genetic programming in digital signal processing. In Late Breaking Papers at the GP'96 conference, pages 24-31, Stanford University, USA, July 1996.
[ .ps ]
[72] G. J. Gray, D. J. Murray-Smith, K. C. Sharman, and Y. Li. Nonlinear model structure identification using genetic programming. In Late-breaking papers of Genetic Programming '96 (GP '96), Stanford, California, July 1996.
[73] G. J. Gray, Y. Li, D. J. Murray-Smith, and K. C. Sharman. Nonlinear system modelling using output error estimation of a local model network. In Proc. Society for Computer Simulation Summer Computer Simulation Conf., July 1996.
[74] Y. Li, K. C. Ng, D. J. Murray-Smith, G. J. Gray, and K. C. Sharman. Genetic algorithm automated approach to design of sliding mode control systems. Int. J. Control, 63(4):721-739, March 1996.
[ http ]
[75] G. J. Gray, Y. Li, 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.
[76] A. I. Esparcia-Alcázar and K. C. Sharman. Application of genetic programming to signal processing problems. CSC Research Report CSC-96010, Centre for Systems and Control, University of Glasgow, 1996.
[77] A. I. Esparcia-Alcázar and K. C. Sharman. Evolving recurrent neural network architectures by genetic programming. CSC Research Report CSC-96009, Centre for Systems and Control, University of Glasgow, 1996.
[78] G. J. Gray, D. J. Murray-Smith, Y. Li, and K. C. Sharman. Nonlinear model structure identification using genetic programming. CSC Research Report CSC-96006, Centre for Systems and Control, University of Glasgow, 1996.
[79] G. J. Gray, D. J. Murray-Smith, Y. Li, and K. C. Sharman. Nonlinear system modelling using output error estimation of a local model network. CSC Research Report CSC-96005, Centre for Systems and Control, University of Glasgow, 1996.
[80] G. J. Gray, Y. Li, D. J. Murray-Smith, and K. C. Sharman. Structural system identification using genetic programming and a block diagram oriented simulation tool. CSC Research Report CSC-96003, Centre for Systems and Control, University of Glasgow, 1996.
[81] S. Arnold, K. C. Sharman, and D. McCaulay. Multi-participant interactive music services. In Proc. Int. Conf. Computer Music, Banf, Canada, September 1995.
[82] K. C. Sharman, A. I. Esparcia-Alcázar, and Y. Li. Evolving digital signal processing algorithms by genetic programming. In Proc. First IEE/IEEE Int. Conf. on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA), pages 473-480, Sheffield, U.K., September 1995.
[ http ]
[83] K. C. Tan, Y. Li, D. J. Murray-Smith, and K. C. Sharman. System identification and linearisation using genetic algorithms with simulated annealing. In Proc. First IEE/IEEE Int. Conf. on GA in Eng. Syst.: Innovations and Appl., pages 164-169, Sheffield, U.K., September 1995.
[ http ]
[84] K. C. Ng, Y. Li, D. J. Murray-Smith, and K. C. Sharman. Genetic algorithms applied to fuzzy sliding mode controller design. In Proc. First IEE/IEEE Int. Conf. on GA in Eng. Syst.: Innovations and Appl., pages 220-225, Sheffield, U.K., September 1995.
[ http ]
[85] G. J. Gray, Y. Li, D. J. Murray-Smith, and K. C. Sharman. Specification of a control system fitness function using constraints for genetic algorithm based design methods. In Proc. First IEE/IEEE Int. Conf. on GA in Eng. Syst.: Innovations and Appl., pages 530-535, Sheffield, U.K., September 1995.
[ http ]
[86] A. Haeussler, K. C. Ng Y. Li, D. J. Murray-Smith, and K. C. Sharman. Neurocontrollers designed by a genetic algorithm. In Proc. First IEE/IEEE Int. Conf. on GA in Eng. Syst.: Innovations and Appl., pages 536-542, Sheffield, U.K., September 1995.
[ http ]
[87] Y. Li, K. C. Ng, K. C. Tan, G. J. Gray, E. W. McGookin, D. J. Murray-Smith, and K. C. Sharman. Automation of linear and nonlinear control systems design by evolutionary computation. In Proc. 1st IFAC Youth Automation Conference, Beijing, China, August 1995.
[88] G. J. Gray, Y. Li, D. J. Murray-Smith, and K. C: Sharman. Issues in fitness evaluation for genetic algorithm based control system design methods. International Journal of Control, July 1995.
[89] K. C. Sharman. Cellular encoding for evolving neural computing architectures, May 1995. Symposium on Neural Networks, University of Glasgow.
[90] K. C. Ng, Y. Li, D. J. Murray-Smith, and K. C. Sharman. Genetic algorithms applied to fuzzy sliding mode controller design. CSC Research Report CSC-95016, Centre for Systems and Control, University of Glasgow, 1995.
[91] K. C. Tan, Y. Li, D. J. Murray-Smith, and K. C. Sharman. System identification and linearisation using genetic algorithms with simulated annealing. CSC Research Report CSC-95015, Centre for Systems and Control, University of Glasgow, 1995.
[92] G. J. Gray, Y. Li, D. J. Murray-Smith, and K. C. Sharman. Specification of a control system fitness function using constraints for genetic algorithm based design methods. CSC Research Report CSC-95014, Centre for Systems and Control, University of Glasgow, 1995.
[93] K. C. Sharman, A. I. Esparcia-Alcázar, and Y. Li. Evolving digital signal processing algorithms by genetic programming. CSC Research Report CSC-95012, Centre for Systems and Control, University of Glasgow, 1995.
[94] K. C. Sharman and E. Breakenridge. Estimation of signal parameters using the maximum likelihood method, February 1994. IEE Colloquium on Mathematical Aspects of Signal Processing, Univ. Bristol.
[95] Y. Li, K. C. Ng, D. J. Murray-Smith, G. J. Gray, and K. C. Sharman. Genetic algorithm automated approach to design of sliding-mode control systems. CSC Research Report CSC-94006, Centre for Systems and Control, University of Glasgow, 1994.
[96] Y. Li, K. C. Ng, K. C. Tan, G. Gray, E. W. McGookin, D. J. Murray-Smith, and K. C. Sharman. Automation of linear and nonlinear control systems design by evolutionary computation. CSC Research Report CSC-94005, Centre for Systems and Control, University of Glasgow, 1994.
[97] K. C. Sharman. High resolution spectral analysis, September 1993. IEE Adaptive Signal Processing Vacation School, Univ. of Birmingham.
[98] K. C. Sharman and A. I. Esparcia-Alcázar. Genetic evolution of symbolic signal models. In Proc. IEE/IEEE Workshop on Natural Algorithms in Signal Processing, volume 2, pages 29/1-29/11, University of Essex, Essex, 1993.
[ .ps ]
[99] P. Stoica and K. C. Sharman. Maximum likelihood methods for direction-of-arrival estimation. IEEE Trans. on Acoustics, Speech & Signal Processing, 38(7):1132-1143, July 1990.
[ http ]
[100] G. Robertson and K. C. Sharman. POLGA - persistence of life genetic algorithms on a transputer surface. In Proc. IEE/IEEE 1st. Int. Workshop on Natural Algorithms in Signal Processing, Glasgow University, May 1990.
[101] P. Stoica and K. C. Sharman. Novel eigenanalysis method for direction estimation. IEE Proceedings part F (Radar & Signal Processing), 137(1):19-26, February 1990.
[ http ]
[102] K. C. Sharman and G. McClurkin. Genetic algorithms for exact maximum likelihood array processing. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing, Glasgow, May 1989.
[103] K. C. Sharman and G. McClurkin. Genetic algorithms for maximum likelihood parameter estimation. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing (ICASSP), volume 4, pages 2716-2719, Glasgow, May 1989.
[ http ]
[104] K. C. Sharman and G. McClurkin. Estimating the parameters of correlated sources from arbitrary sensor array data. In Proceedings of the IEE Symposium on Sensor Arrays, London, December 1988. IEE.
[105] K. C. Sharman. Directional Spectral Analysis from Sensor Array Data. PhD thesis, The University of Strathclyde, Glasgow, July 1988. Ph.D. Thesis, The University of Strathclyde.
[106] K. C. Sharman. Maximum likelihood parameter estimation by simulated annealing. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing, New York, May 1988.
[ http ]
[107] G. McClurkin, K. C. Sharman, and T.S. Durrani. Genetic algorithms in array processing. In Proc. IEEE Acoustics Speech and Signal Processing Society - Spectral Estimation Workshop, Minesotta, 1988.
[108] G. McClurkin, K. C. Sharman, and T.S. Durrani. Genetic algorithms for spatial spectral estimation. In Proc. Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling, pages 318-322, 1988.
[ http ]
[109] K. C. Sharman. Annealing algorithms for adaptive array processing. In Proc. of the 8th IFAC Symposium on Identification and System Parameter Estimation, Bejing, China, 1988.
[110] K. C. Sharman and C. Chambers. Rule based adaptive filtering. In Proc. of the IEE Coloquium on the use of expert systems in underwater acoustics, London, 1987.
[111] K. C. Sharman. Adaptive algorithms for estimating the complete covariance eigenstructure. In Proceedings of the IEEE Intl. Conf. Acoustics Speech & Signal Processing, pages 39.5.1-39.5.4, Tokyo, May 1986.
[112] K. C. Sharman. A comparative study of modern eigenstructure algorithms for array processing. In Proc. IEEE Int. Conf. on Decision & Control, Athens, 1986.
[113] K. C. Sharman, L Vergara-Domínguez, and T. S. Durrani. Adaptive algorithms for eigenstructure based spectral analysis. In Proc. IEEE Int. Conf. on Decision & Control, 1986.
[114] K. C. Sharman and J. Piggot. Methods to aid interpretation of multidimensional data. In J. R. Piggott, editor, Statistical Procedures in Food Research, pages 181-232. Elsevier Applied Science, 1986. ISBN 1 85166 032 1.
[115] B. Friedlander and K. C. Sharman. Performance evaluation of the modified yule-walker equations. IEEE Trans. on Acoustics, Speech & Signal Processing, ASSP-33(3):719-725, 1985.
[116] K. C. Sharman and T. S. Durrani. Resolving power of signal subspace methods for finite data length. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing, Tampa, 1985.
[117] K. C. Sharman and B. Friedlander. Time-varying autoregressive modelling for a class of non-stationary processes. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing, pages 22.2.1-22.2.4, San Diego, May 1984.
[118] K. C. Sharman, T. S. Durrani, M. Wax, and T. Kailath. Asymptotic performance of eigenstructure spectral analysis methods. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing, pages 44.5.1-44.5.4, San Diego, May 1984.
[119] K. C. Sharman and T. S. Durrani. Triangular lattice filter for spatial signal processing. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing, Boston, May 1983.
[120] K. C. Sharman and T. S. Durrani. Spatial lattice filter for high resolution array processing. IEE Proceedings part F (Radar & Signal Processing), 30:279-287, April 1983.
[121] K. C. Sharman and T. S. Durrani. Eigenfilter approaches to adaptive array processing. IEE Proceedings part F (Radar & Signal Processing), 30:22-28, April 1983.
[122] T. S. Durrani and K. C. Sharman. ARMA techniques for the location of multiple sources from linear array data. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing, pages 297-301, Paris, May 1982.
[123] T. S. Durrani and K. C. Sharman. Directional spectral estimation and interference removal techniques in adaptive arrays. In Proc. conf. on spectral analysis and its use in underwater acoustics, pages 12.1-12.8, London, May 1982.
[124] K. C. Sharman and T. S. Durrani. Extraction of an eigenvector oriented spectrum from the mesa coefficients. IEEE Trans. on Acoustics, Speech & Signal Processing, ASSP-30(4):649-651, 1982.
[125] T. S. Durrani, N.L.M. Murukutla, and K. C. Sharman. Constrained algorithms for multi-input adaptive lattices in array processing. In Proceedings of the IEEE Intl. Conf. on Acoustics Speech & Signal Processing, pages 297-301, Atlanta, May 1981.
[126] T. S. Durrani and K. C. Sharman. Eigenfilter approaches to adaptive array processing. In Proc. symposium on defence applications of adaptive arrays. RSRE Malvern, 1981.

This file has been generated by bibtex2html 1.54