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Publications of Author

1. Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman
   Using distributed genetic programming to evolve classifiers for a brain computer interface. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:59-66 [Conf]
   
2. Anna Esparcia-Alcázar, Ken Sharman
   Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance Schemes. [Citation Graph (0, 0)][DBLP]
   EuroGP, 1999, pp:49-64 [Conf]
   
3. 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. [Citation Graph (0, 0)][DBLP]
   EvoCOP, 2006, pp:49-60 [Conf]
   
4. Anna Esparcia-Alcázar, Ken Sharman
   Genetic Programming for Channel Equalisation. [Citation Graph (0, 0)][DBLP]
   EvoWorkshops, 1999, pp:126-137 [Conf]
   
5. 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. [Citation Graph (0, 0)][DBLP]
   GECCO, 2006, pp:1653-1660 [Conf]
   
6. Eva Alfaro-Cid, Ken Sharman, Anna Esparcia-Alcázar
   A Genetic Programming Approach for Bankruptcy Prediction Using a Highly Unbalanced Database. [Citation Graph (0, 0)][DBLP]
   EvoWorkshops, 2007, pp:169-178 [Conf]
   
7. Juan Luís Jiménez Laredo, Pedro A. Castillo Valdivieso, Ben Paechter, Antonio Miguel Mora, Eva Alfaro-Cid, Anna Esparcia-Alcázar, Juan Julián Merelo Guervós
   Empirical Validation of a Gossiping Communication Mechanism for Parallel EAs. [Citation Graph (0, 0)][DBLP]
   EvoWorkshops, 2007, pp:129-136 [Conf]
   
8. Anna Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, Juan Julián Merelo Guervós
   Configuring an evolutionary tool for the inventory and transportation problem. [Citation Graph (0, 0)][DBLP]
   GECCO, 2007, pp:1975-1982 [Conf]
   
9. 
   A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction Problem. [Citation Graph (, )][DBLP]
   
   
10. 
    Modeling Pheromone Dispensers Using Genetic Programming. [Citation Graph (, )][DBLP]
    
    
11. 
    Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks. [Citation Graph (, )][DBLP]
    
    
12. 
    Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser. [Citation Graph (, )][DBLP]
    
    
13. 
    Prune and Plant: A New Bloat Control Method for Genetic Programming. [Citation Graph (, )][DBLP]
    
    
14. 
    Testing the Intermediate Disturbance Hypothesis: Effect of Asynchronous Population Incorporation on Multi-Deme Evolutionary Algorithms. [Citation Graph (, )][DBLP]
    
    
15. 
    A Multiobjective Evolutionary Algorithm for the Linear Shelf Space Allocation Problem. [Citation Graph (, )][DBLP]
    
    
16. 
    A new two-stage approach to solve the Linear Shelf Space Allocation Problem. [Citation Graph (, )][DBLP]
    
    
17. 
    Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy prediction. [Citation Graph (, )][DBLP]
    
    
18. 
    Comparing Single and Multiobjective Evolutionary Approaches to the Inventory and Transportation Problem [Citation Graph (, )][DBLP]