J. Carter

发表

A Further Result on the Markov Chain Model of Genetic Algorithms and Its Application to a Simulated Annealing-Like Strategy

T. P. Monks, W. Kropatsch, V. Leavers, 1998 .

Reduced order borehole induction modelling

Ionel M. Navon, M. Player, C. Pain, 2014, International Journal of Computational Fluid Dynamics.

A study of the structural controls on oil recovery from shallow-marine reservoirs

J. D. Matthews, K. Stephen, J. Walsh, 2008, Petroleum Geoscience.

Sensitivity of the impact of geological uncertainty on production from faulted and unfaulted shallow-marine oil reservoirs: objectives and methods

J. D. Matthews, L. Holden, A. R. Syversveen, 2008, Petroleum Geoscience.

Optimization of a reservoir development plan using a parallel genetic algorithm

J. D. Matthews, J. Carter, 2008, Petroleum Geoscience.

An analysis of history matching errors

Jonathan Carter, Peter R. King, Zohreh Tavassoli, 2005 .

Empty container repositioning in liner shipping

D. Song, J. Carter, 2009 .

Combined effects of structural, stratigraphic and well controls on production variability in faulted shallow-marine reservoirs

T. Manzocchi, J. Howell, A. Skorstad, 2008, Petroleum Geoscience.

Sensitivity of Oil Production to Petrophysical Heterogeneities

T. Manzocchi, J. Howell, A. Skorstad, 2005 .

Chapter 3 Introduction to using genetic algorithms

J. Carter, 2003 .

Reactor Loading Pattern Optimization Using Estimation of Distribution Algorithms

H. J. Phillips, S. J. Franklin, A. Goddard, 2006 .

Chapter 17 Using genetic algorithms for reservoir characterisation

J. Carter, C. Romero, 2003 .

Is There a Relation Between the In Situ Principal Stress Magnitudes In Rock Masses

J. Harrison, J. Hudson, J. Carter, 2007 .

A Modified Genetic Algorithm for Reservoir Characterisation

Jonathan Carter, Alain C. Gringarten, Robert W. Zimmerman, 2000 .

Upscaling uncertainty analysis in a shallow-marine environment

K. Stephen, T. Manzocchi, J. Howell, 2008, Petroleum Geoscience.

Errors in History Matching

Jonathan Carter, Peter R. King, Zohreh Tavassoli, 2004 .

Sensitivity of reservoir simulations to uncertainties in viscosity.

V. Vesovic, J. Carter, J. Hernandez, 2002 .

Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization

Pedro J. Ballester, Jonathan N. Carter, J. Carter, 2003, GECCO.

Genetic algorithms and artificial neural networks for loading pattern optimisation of advanced gas-cooled reactors

C. C. Pain, A. K. Ziver, Jonathan Carter, 2004 .

Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX

Pedro J. Ballester, Jonathan N. Carter, Kerry Gallagher, 2005, 2005 IEEE Congress on Evolutionary Computation.

Statistics provide guidance for indigenous organic carbon detection on Mars missions.

M. Sephton, J. Carter, 2014, Astrobiology.

Genetic algorithm crossover operators for ordering applications

P. W. Poon, J. N. Carter, J. Carter, 1995, Comput. Oper. Res..

Using Bayesian Statistics to Capture the Effects of Modelling Errors in Inverse Problems

J. N. Carter, J. Carter, 2004 .

Using genetic algorithms for reservoir characterisation

Jonathan Carter, C. E Romero, J. Carter, 2001 .

Assessing the effect of geological uncertainty on recovery estimates in shallow-marine reservoirs: the application of reservoir engineering to the SAIGUP project

Jonathan Carter, Karl Dunbar Stephen, Robert W. Zimmerman, 2008, Petroleum Geoscience.

Multicycle Optimization of Advanced Gas-Cooled Reactor Loading Patterns Using Genetic Algorithms

Jonathan Carter, Antony J. H. Goddard, R. S. Overton, 2003 .

Genetic Algorithms for Incore Fuel Management and Other Recent Developments in Optimisation

Jonathan Carter, J. Carter, 2002 .

Our calibrated model has poor predictive value: An example from the petroleum industry

Peter R. King, Pedro J. Ballester, Jonathan N. Carter, 2006, Reliab. Eng. Syst. Saf..

Characterising the parameter space of a highly nonlinear inverse problem

Pedro J. Ballester, Jonathan N. Carter, J. Carter, 2006 .

Effects of Permeability contrast in the Near Wellbore Flow Patterns-Comparison Between Experimental and Numerical Studies

R. Dawe, J. Carter, C. Grattoni, 1999 .

Formation Damage and Near Wellbore Flow in Reservoirs - An Experimental Study

R. Dawe, J. Carter, C. Grattoni, 1998 .

Reduced order borehole induction modelling

Ionel M. Navon, M. Player, C. Pain, 2014, International Journal of Computational Fluid Dynamics.

Regularization in History Matching Using Multi-Objective Genetic Algorithm and Bayesian Framework

Jonathan Carter, Mohammad Sayyafzadeh, Manouchehr Haghighi, 2012 .

Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks

Shan Jiang, Christopher C. Pain, Heather J. Phillips, 2008, ISNN.

A Bayesian statistical assessment of representative samples for asteroidal or meteoritical material

M. Sephton, J. Carter, 2013 .

Estimation of distribution algorithms for nuclear reactor fuel management optimisation

A. K. Ziver, Jonathan Carter, Antony J. H. Goddard, 2006 .

History matching on the Imperial College fault model using parallel tempering

Jonathan Carter, J. Carter, D. A. White, 2013, Computational Geosciences.

The chances of detecting life on Mars

Jonathan Carter, Mark A. Sephton, M. Sephton, 2015 .

Application of Estimation of Distribution Algorithms for Nuclear Fuel Management

Shan Jiang, Jonathan N. Carter, J. Carter, 2011, Intelligent Computational Optimization in Engineering.