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Ken Sharman: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Seelan Sundaralingam, Ken Sharman
    Evolving IIR Filters in Multipath Environments. [Citation Graph (0, 0)][DBLP]
    Evolutionary Programming, 1998, pp:397-406 [Conf]
  2. 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]
  3. 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]
  4. 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]
  5. Anna Esparcia-Alcázar, Ken Sharman
    Genetic Programming for Channel Equalisation. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 1999, pp:126-137 [Conf]
  6. Craig Slorach, Steve Fulton, Ken Sharman
    A Distributed, Scalable, Multi-layered Approach to Evolvable System Design Using FPGAs. [Citation Graph (0, 0)][DBLP]
    FPL, 1999, pp:501-506 [Conf]
  7. 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]
  8. Craig Slorach, Ken Sharman
    The Design and Implementation of Custom Architectures for Evolvable Hardware Using Off-the-Shelf Programmable Devices. [Citation Graph (0, 0)][DBLP]
    ICES, 2000, pp:197-207 [Conf]
  9. 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]
  10. 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]

  11. Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines. [Citation Graph (, )][DBLP]

  12. A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction Problem. [Citation Graph (, )][DBLP]

  13. Modeling Pheromone Dispensers Using Genetic Programming. [Citation Graph (, )][DBLP]

  14. Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networks. [Citation Graph (, )][DBLP]

  15. Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser. [Citation Graph (, )][DBLP]

  16. Prune and Plant: A New Bloat Control Method for Genetic Programming. [Citation Graph (, )][DBLP]

  17. Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization. [Citation Graph (, )][DBLP]

  18. Testing the Intermediate Disturbance Hypothesis: Effect of Asynchronous Population Incorporation on Multi-Deme Evolutionary Algorithms. [Citation Graph (, )][DBLP]

  19. A Multiobjective Evolutionary Algorithm for the Linear Shelf Space Allocation Problem. [Citation Graph (, )][DBLP]

  20. Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy prediction. [Citation Graph (, )][DBLP]

  21. Increasing GP Computing Power via Volunteer Computing [Citation Graph (, )][DBLP]

  22. Comparing Single and Multiobjective Evolutionary Approaches to the Inventory and Transportation Problem [Citation Graph (, )][DBLP]

  23. Bloat Control Operators and Diversity in Genetic Programming: A Comparative Study. [Citation Graph (, )][DBLP]

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