Ken Sharman - researchr alias

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Viewing Publication 1 - 32 from 32

2019

Simulation Infrastructure for Automated Anesthesia During OperationsMartin Hrubý, Antonio Gonzáles, Ricardo Ruiz Nolasco, Ken Sharman, Sergio Sáez. eurocast 2020: 474-481 [doi]

2014

Genetic Programming and Serial Processing for Time Series ClassificationEva Alfaro-Cid, Ken Sharman, Anna Isabel Esparcia-Alcázar. ec, 22(2):265-285, 2014. [doi]

2010

Bloat Control Operators and Diversity in Genetic Programming: A Comparative StudyEva Alfaro-Cid, Juan Julián Merelo Guervós, Francisco Fernández de Vega, Anna Isabel Esparcia-Alcázar, Ken Sharman. ec, 18(2):305-332, 2010. [doi]

An evolutionary approach to integrated inventory and routing management in a real world caseAnna Isabel Esparcia-Alcázar, Eva Alfaro-Cid, Pablo García-Sánchez, Ana Isabel Martínez García, Juan J. Merelo Guervós, Ken Sharman. cec 2010: 1-7 [doi]

2009

Modeling Pheromone Dispensers Using Genetic ProgrammingEva Alfaro-Cid, Anna Esparcia-Alcázar, Pilar Moya, Beatriu Femenia-Ferrer, Ken Sharman, J. J. Merelo. evoW 2009: 635-644 [doi]

Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenserEva Alfaro-Cid, Anna Esparcia-AlcÃ¡zar, Pilar Moya, Juan JuliÃ¡n Merelo GuervÃ³s, Beatriu Femenia-Ferrer, Ken Sharman, Jaime Primo. gecco 2009: 2225-2230 [doi]

EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation ProblemAnna Esparcia-Alcázar, Manuel Cardós, Juan Julián Merelo Guervós, Anaís Martínez-García, Pablo García-Sánchez, Eva Alfaro-Cid, Ken Sharman. In Francisco Baptista Pereira, Jorge Tavares, editors, Bio-inspired Algorithms for the Vehicle Routing Problem. Volume 161 of Studies in Computational Intelligence, pages 151-172, Springer, 2009. [doi]

Increasing GP Computing Power for Free via Desktop GRID Computing and VirtualizationDaniel Lombraña Gonzalez, Francisco Fernández de Vega, Leonardo Trujillo, Gustavo Olague, Lourdes Araujo, Pedro A. Castillo, Juan Julián Merelo Guervós, Ken Sharman. pdp 2009: 419-423 [doi]

2008

Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic ProgrammingEva Alfaro-Cid, Alberto Cuesta-Cañada, Ken Sharman, Anna Esparcia-Alcázar. In Anthony Brabazon, Michael O Neill, editors, Natural Computing in Computational Finance. Volume 100 of Studies in Computational Intelligence, pages 161-185, Springer, 2008. [doi]

Prune and Plant: A New Bloat Control Method for Genetic ProgrammingEva Alfaro-Cid, Anna Esparcia-AlcÃ¡zar, Ken Sharman, Francisco FernÃ¡ndez de Vega, Juan J. Merelo GuervÃ³s. his 2008: 31-35 [doi]

A SOM and GP Tool for Reducing the Dimensionality of a Financial Distress Prediction ProblemEva Alfaro-Cid, Antonio Miguel Mora, Juan Julián Merelo Guervós, Anna Esparcia-Alcázar, Ken Sharman. evoW 2008: 123-132 [doi]

Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy predictionEva Alfaro-Cid, Pedro A. Castillo Valdivieso, Anna Esparcia-Alcázar, Ken Sharman, Juan Julián Merelo Guervós, Alberto Prieto, Antonio Miguel Mora, Juan Luís Jiménez Laredo. cec 2008: 2902-2908 [doi]

A Multiobjective Evolutionary Algorithm for the Linear Shelf Space Allocation ProblemAnna Esparcia-Alcázar, Ana I. Martínez-García, José Miguel Albarracín-Guillem, Marta E. Palmer-Gato, Juan Julián Merelo Guervós, Ken Sharman, Eva Alfaro-Cid. ppsn 2008: 1001-1010 [doi]

Discovering causes of financial distress by combining evolutionary algorithms and artificial neural networksAntonio Mora García, Pedro A. Castillo Valdivieso, Juan Julián Merelo Guervós, Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman. gecco 2008: 1243-1250 [doi]

Testing the Intermediate Disturbance Hypothesis: Effect of Asynchronous Population Incorporation on Multi-Deme Evolutionary AlgorithmsJuan 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. ppsn 2008: 266-275 [doi]

2007

A Genetic Programming Approach for Bankruptcy Prediction Using a Highly Unbalanced DatabaseEva Alfaro-Cid, Ken Sharman, Anna Esparcia-Alcázar. evoW 2007: 169-178 [doi]

Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machinesFrancesc Benimeli, Ken Sharman. esann 2007: 361-366 [doi]

Configuring an evolutionary tool for the inventory and transportation problemAnna Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, Juan Julián Merelo Guervós. gecco 2007: 1975-1982 [doi]

2006

Using distributed genetic programming to evolve classifiers for a brain computer interfaceEva Alfaro-Cid, Anna Esparcia-Alcázar, Ken Sharman. esann 2006: 59-66 [doi]

Evolving a Learning Machine by Genetic ProgrammingEva Alfaro-Cid, Ken Sharman, Anna Isabel Esparcia-Alcázar. cec 2006: 254-258 [doi]

Towards an evolutionary tool for the allocation of supermarket shelf spaceAnna Esparcia-Alcázar, Lidia Lluch-Revert, Ken Sharman, José Miguel Albarracín-Guillem, Marta E. Palmer-Gato. gecco 2006: 1653-1660 [doi]

Design of a Retail Chain Stocking Up Policy with a Hybrid Evolutionary AlgorithmAnna Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, Carlos Andrés-Romano. evoW 2006: 49-60 [doi]

A comparison of routing algorithms in a hybrid evolutionary tool for the Inventory and Transportation ProblemAnna Isabel Esparcia-Alcázar, Lidia Lluch-Revert, Manuel Cardós, Ken Sharman, Carlos Andrés-Romano. cec 2006: 1456-1462 [doi]

An Evolutionary Algorithm for the Product to Shelf Allocation ProblemAnna Isabel Esparcia-Alcázar, Lidia Lluch-Revert, José Miguel Albarracín-Guillem, Marta E. Palmer-Gato, Ken Sharman. cec 2006: 3197-3203 [doi]

2003

On Harnessing the Electroencephalogram for the Musical BraincapEduardo Reck Miranda, Ken Sharman, Kerry Kilborn, Alexander Duncan. comj, 27(2):80-102, 2003. [doi]

2000

The Design and Implementation of Custom Architectures for Evolvable Hardware Using Off-the-Shelf Programmable DevicesCraig Slorach, Ken Sharman. ices 2000: 197-207 [doi]

1999

Phenotype Plasticity in Genetic Programming: A Comparison of Darwinian and Lamarckian Inheritance SchemesAnna Esparcia-Alcázar, Ken Sharman. eurogp 1999: 49-64 [doi]

Genetic Programming for Channel EqualisationAnna Esparcia-Alcázar, Ken Sharman. evoW 1999: 126-137

A Distributed, Scalable, Multi-layered Approach to Evolvable System Design Using FPGAsCraig Slorach, Steve Fulton, Ken Sharman. fpl 1999: 501-506

1998

Evolving IIR Filters in Multipath EnvironmentsSeelan Sundaralingam, Ken Sharman. eps 1998: 397-406

Evolving complex adaptive IIR structuresSeelan Sundaralingam, Ken Sharman. eusipco 1998: 1-4 [doi]

1985

Performance evaluation of the modified Yule-Walker estimatorBenjamin Friedlander, Ken Sharman. tsp, 33(3):719-725, 1985. [doi]

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Researchr

Publications by 'Ken Sharman'

Viewing Publication 1 - 32 from 32

2019

2014

2010

2009

2008

2007

2006

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1998

1985

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Researchr

Publications by 'Ken Sharman'

Viewing Publication 1 - 32 from 32

2019

2014

2010

2009

2008

2007

2006

2003

2000

1999

1998

1985

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