| 2009 | ||
|---|---|---|
| 23 | Eva Alfaro-Cid, Anna Esparcia-Alcázar, Pilar Moya, Beatriu Femenia-Ferrer, Ken Sharman, Juan Julián Merelo Guervós: Modeling Pheromone Dispensers Using Genetic Programming. EvoWorkshops 2009: 635-644 | |
| 22 | Eva Alfaro-Cid, Anna Esparcia-Alcázar, Pilar Moya, Juan Julián Merelo Guervós, Beatriu Femenia-Ferrer, Ken Sharman, Jaime Primo: Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser. GECCO (Companion) 2009: 2225-2230 | |
| 21 | Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, Lourdes Araujo, Pedro A. Castillo, Juan Julián Merelo Guervós, Ken Sharman: Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization. PDP 2009: 419-423 | |
| 20 | Anna Esparcia-Alcázar, Manuel Cardós, Juan Julián Merelo Guervós, Anaís Martínez-García, Pablo García-Sánchez, Eva Alfaro-Cid, Ken Sharman: EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem. Bio-inspired Algorithms for the Vehicle Routing Problem 2009: 151-172 | |
| 19 | Anna Esparcia-Alcázar, Juan Julián Merelo Guervós, Anaís Martínez-García, Pablo García-Sánchez, Eva Alfaro-Cid, Ken Sharman: Comparing Single and Multiobjective Evolutionary Approaches to the Inventory and Transportation Problem CoRR abs/0909.3384: (2009) | |
| 2008 | ||
| 18 | Eva Alfaro-Cid, Antonio Miguel Mora, Juan Julián Merelo Guervós, Anna Esparcia-Alcázar, Ken Sharman: A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction Problem. EvoWorkshops 2008: 123-132 | |
| 17 | Antonio Mora García, Pedro A. Castillo Valdivieso, Juan Julián Merelo Guervós, Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman: Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks. GECCO 2008: 1243-1250 | |
| 16 | Eva Alfaro-Cid, Pedro A. Castillo Valdivieso, Anna Esparcia-Alcázar, Ken Sharman, Juan Julián Merelo Guervós, Alberto Prieto, Antonio Miguel Mora, Juan Luís Jiménez Laredo: Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy prediction. IEEE Congress on Evolutionary Computation 2008: 2902-2908 | |
| 15 | Anna Esparcia-Alcázar, Ana I. Martínez-García, José Miguel Albarracín-Guillem, Marta E. Palmer-Gato, Juan Julián Merelo Guervós, Ken Sharman, Eva Alfaro-Cid: A Multiobjective Evolutionary Algorithm for the Linear Shelf Space Allocation Problem. PPSN 2008: 1001-1010 | |
| 14 | Juan Julián Merelo Guervós, Antonio Miguel Mora, Pedro A. Castillo, Juan Luís Jiménez Laredo, Lourdes Araujo, Ken Sharman, Anna Esparcia-Alcázar, Eva Alfaro-Cid, Carlos Cotta: Testing the Intermediate Disturbance Hypothesis: Effect of Asynchronous Population Incorporation on Multi-Deme Evolutionary Algorithms. PPSN 2008: 266-275 | |
| 13 | Eva Alfaro-Cid, Alberto Cuesta-Cañada, Ken Sharman, Anna Esparcia-Alcázar: Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming. Natural Computing in Computational Finance 2008: 161-185 | |
| 12 | Daniel Lombraña Gonzalez, Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, F. Chavez de la O, M. Cardenas, Lourdes Araujo, Pedro A. Castillo, Ken Sharman: Increasing GP Computing Power via Volunteer Computing CoRR abs/0801.1210: (2008) | |
| 2007 | ||
| 11 | Francesc Benimeli, Ken Sharman: Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines. ESANN 2007: 361-366 | |
| 10 | Eva Alfaro-Cid, Ken Sharman, Anna Esparcia-Alcázar: A Genetic Programming Approach for Bankruptcy Prediction Using a Highly Unbalanced Database. EvoWorkshops 2007: 169-178 | |
| 9 | Anna Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, Juan Julián Merelo Guervós: Configuring an evolutionary tool for the inventory and transportation problem. GECCO 2007: 1975-1982 | |
| 2006 | ||
| 8 | Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman: Using distributed genetic programming to evolve classifiers for a brain computer interface. ESANN 2006: 59-66 | |
| 7 | Anna Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, Carlos Andrés-Romano: Design of a Retail Chain Stocking Up Policy with a Hybrid Evolutionary Algorithm. EvoCOP 2006: 49-60 | |
| 6 | Anna Esparcia-Alcázar, Lidia Lluch-Revert, Ken Sharman, José Miguel Albarracín-Guillem, Marta E. Palmer-Gato: Towards an evolutionary tool for the allocation of supermarket shelf space. GECCO 2006: 1653-1660 | |
| 2000 | ||
| 5 | Craig Slorach, Ken Sharman: The Design and Implementation of Custom Architectures for Evolvable Hardware Using Off-the-Shelf Programmable Devices. ICES 2000: 197-207 | |
| 1999 | ||
| 4 | Anna Esparcia-Alcázar, Ken Sharman: Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance Schemes. EuroGP 1999: 49-64 | |
| 3 | Anna Esparcia-Alcázar, Ken Sharman: Genetic Programming for Channel Equalisation. EvoWorkshops 1999: 126-137 | |
| 2 | Craig Slorach, Steve Fulton, Ken Sharman: A Distributed, Scalable, Multi-layered Approach to Evolvable System Design Using FPGAs. FPL 1999: 501-506 | |
| 1998 | ||
| 1 | Seelan Sundaralingam, Ken Sharman: Evolving IIR Filters in Multipath Environments. Evolutionary Programming 1998: 397-406 | |