Ken Sharman

发表

Increasing GP Computing Power via Volunteer Computing pdf

Pedro A. Castillo, Lourdes Araujo, Daniel Lombraña Gonzalez, 2008, ArXiv.

EVITA: An Integral Evolutionary Methodology for the Inventory and Transportation Problem

Juan Julián Merelo Guervós, Pablo García-Sánchez, Ken Sharman, 2009, Bio-inspired Algorithms for the Vehicle Routing Problem.

Some Applications of Genetic Programming in Digital Signal Processing

Ken Sharman, Anna Isabel Esparcia Alcázar, 1996 .

Resolving power of signal subspace methods for finite data lengths

Tariq S. Durrani, Ken Sharman, K. Sharman, 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Evolving complex adaptive IIR structures

Ken Sharman, Seelan Sundaralingam, K. Sharman, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

A triangular adaptive lattice filter for spatial signal processing

Tariq S. Durrani, Ken Sharman, 1983, ICASSP.

Neurocontrollers designed by a genetic algorithm

Yun Li, David J. Murray-Smith, Ken Sharman, 1995 .

ARMA Techniques for the location of multiple sources from linear array data

Tariq S. Durrani, Ken Sharman, 1982, ICASSP.

Configuring an evolutionary tool for the inventory and transportation problem

Juan Julián Merelo Guervós, Ken Sharman, Anna Esparcia-Alcázar, 2007, GECCO '07.

A COXI'ARATIVB STUDY OF MDERB EIGEHSTRUCTUBB HETHODS FOR BEARING ESTIHATIOB - A REV HIGH PERFORHANCE APPROACH

Tariq S. Durrani, Ken Sharman, 1988 .

A Distributed, Scalable, Multi-layered Approach to Evolvable System Design Using FPGAs

Steve Fulton, Ken Sharman, Craig Slorach, 1999, FPL.

Evolving signal processing algorithms by genetic programming

Ken Sharman, Yun Li, Anna Isabel Esparcia Alcázar, 1995 .

Nonlinear model structure identification using genetic programming

David J. Murray-Smith, Ken Sharman, Yun Li, 1998 .

Genetic algorithms for maximum likelihood parameter estimation

Ken Sharman, G. D. McClurkin, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

A Multiobjective Evolutionary Algorithm for the Linear Shelf Space Allocation Problem

Juan Julián Merelo Guervós, Ken Sharman, Anna Esparcia-Alcázar, 2008, PPSN.

On Harnessing the Electroencephalogram for the Musical Braincap

Ken Sharman, Eduardo Reck Miranda, Alexander Duncan, 2003, Computer Music Journal.

Maximum likelihood methods for direction-of-arrival estimation

Petre Stoica, Ken Sharman, P. Stoica, 1990, IEEE Trans. Acoust. Speech Signal Process..

Constrained algorithms for multi input adaptive lattices in array processing

Tariq S. Durrani, Ken Sharman, N. L. M. Murukutla, 1981, ICASSP.

Comparing Single and Multiobjective Evolutionary Approaches to the Inventory and Transportation Problem pdf

Juan Julián Merelo Guervós, Ken Sharman, Pablo García-Sánchez, 2009, ArXiv.

Temporal and spatial sampling influence on the estimates of superimposed narrowband signals: when less can mean more

Tariq S. Durrani, Ken Sharman, Charles Chambers, 1996, IEEE Trans. Signal Process..

Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy prediction

Juan Julián Merelo Guervós, Antonio Mora García, Pedro Ángel Castillo Valdivieso, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Evolving IIR Filters in Multipath Environments

Ken Sharman, Seelan Sundaralingam, 1998, Evolutionary Programming.

Specification of a control system fitness function using constraints for genetic algorithm based design methods

Yun Li, David J. Murray-Smith, Ken Sharman, 1995 .

Structural system identification using genetic programming and a block diagram oriented simulation tool

David J. Murray-Smith, Ken Sharman, Yun Li, 1996 .

Nonlinear system modelling using output error estimation of a local model network

David J. Murray-Smith, Ken Sharman, Yun Li, 1996 .

Adaptive algorithms for estimating the complete covariance eigenstructure

Ken Sharman, K. Sharman, 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

The Design and Implementation of Custom Architecture sfo rEvolvabl eHardwar eUsing O-the-Shel fProgrammabl eDevices

Ken Sharman, Craig Slorach, 2000 .

An evolutionary approach to integrated inventory and routing management in a real world case

Juan Julián Merelo Guervós, Ken Sharman, Pablo García-Sánchez, 2010, IEEE Congress on Evolutionary Computation.

The application of genetic algorithms to gain-scheduling controller analysis and design

Yun Li, David J. Murray-Smith, Ken Sharman, 1997 .

Maximum likelihood parameter estimation by simulated annealing

Ken Sharman, K. Sharman, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Increasing GP Computing Power for Free via Desktop GRID Computing and Virtualization

Juan Julián Merelo Guervós, Pedro A. Castillo, Lourdes Araujo, 2009, 2009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing.

The Design and Implementation of Custom Architectures for Evolvable Hardware Using Off-the-Shelf Programmable Devices

Ken Sharman, Craig Slorach, K. Sharman, 2000, ICES.

Simulation Infrastructure for Automated Anesthesia During Operations

Sergio Sáez, Ken Sharman, Ricardo Ruiz Nolasco, 2019, EUROCAST.

Configuración de una herramienta evolutiva para el Problema de Transporte e Inventario

Ken Sharman, Anna Isabel Esparcia Alcázar, Carlos Andrés Romano, 2007 .

Design of a Retail Chain Stocking Up Policy with a Hybrid Evolutionary Algorithm

Ken Sharman, Anna Esparcia-Alcázar, Anna I. Esparcia-Alcázar, 2006, EvoCOP.

A Genetic Programming Approach for Bankruptcy Prediction Using a Highly Unbalanced Database

Ken Sharman, Anna Esparcia-Alcázar, Eva Alfaro-Cid, 2007, EvoWorkshops.

Performance evaluation of the modified Yule-Walker estimator

Ken Sharman, Benjamin Friedlander, 1985, IEEE Trans. Acoust. Speech Signal Process..