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1Improving Predictability of Simulation Models using Evolutionary Computation-Based Methods for Model Error Correction
E. Zechman. Civil Engineering, North Carolina State University, Raleigh, USA, (2005)
17 years ago by @brazovayeye
show all tags
algorithms,
alternatives
calibration
computation,
correction,
error
estimation,
evolutionary
generation,
genetic
management,
model
non-uniquness,
parameter
programming,
resources
water
algorithms,alternativescalibrationcomputation,correction,errorestimation,evolutionarygeneration,geneticmanagement,modelnon-uniquness,parameterprogramming,resourceswater
(0)
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7Genetic Programming meets Model-Driven Development
T. Weise, M. Zapf, M. Khan, and K. Geihs. 7th International Conference on Hybrid Intelligent Systems, HIS 2007, page 332--335. Kaiserslautern, Germany, IEEE, (17-19 September 2007)
17 years ago by @brazovayeye
show all tags
Algorithms
Architecture,
Development,
Distributed
Driven
GP,
MDA,
MDD,
MOF-Skript,
Model
UML,
XMI,
algorithms,
genetic
programming,
AlgorithmsArchitecture,Development,DistributedDrivenGP,MDA,MDD,MOF-Skript,ModelUML,XMI,algorithms,geneticprogramming,
(0)
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7Genetic Programming meets Model-Driven Development
T. Weise, M. Zapf, M. Khan, and K. Geihs. Kasseler Informatikschriften (KIS), 2007, 2. University of Kassel, University of Kassel, FB-16, Distributed Systems Group, Wilhelmshöher Allee 73, 34121 Kassel, Germany, (July 2007)
17 years ago by @brazovayeye
show all tags
Algorithms
Architecture,
Development,
Distributed
Driven
GP,
MDA,
MDD,
MOF-Skript,
Model
UML,
XMI,
algorithms,
genetic
programming,
AlgorithmsArchitecture,Development,DistributedDrivenGP,MDA,MDD,MOF-Skript,ModelUML,XMI,algorithms,geneticprogramming,
(0)
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1Scalable architecture for parallel distributed implementation of genetic programming on network of workstations
I. Tanev, T. Uozumi, and K. Ono. Journal of Systems Architecture, 47 (7): 557--572 (July 2001)
17 years ago by @brazovayeye
show all tags
Distributed
Island
Network
algorithms,
component
genetic
model
model,
object
of
parallelism,
programming,
workstations
DistributedIslandNetworkalgorithms,componentgeneticmodelmodel,objectofparallelism,programming,workstations
(0)
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2Probabilistic Model Building and Competent Genetic Programming
K. Sastry, and D. Goldberg. Genetic Programming Theory and Practise, chapter 13, Kluwer, (2003)
17 years ago by @brazovayeye
show all tags
Competent
Extended
Linkage
Probabilistic
adaptation,
algorithm
algorithms,
building,
compact
genetic
learning,
model
program,
programming,
CompetentExtendedLinkageProbabilisticadaptation,algorithmalgorithms,building,compactgeneticlearning,modelprogram,programming,
(0)
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1Model selection methodology in supervised learning with evolutionary computation
J. Rowland. Biosystems, 72 (1-2): 187--196 (November 2003)
17 years ago by @brazovayeye
show all tags
Gene
Generalization,
Model
Validation
algorithms,
expression,
genetic
programming,
selection,
GeneGeneralization,ModelValidationalgorithms,expression,geneticprogramming,selection,
(0)
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3Sporadic model building for efficiency enhancement of the hierarchical BOA
M. Pelikan, K. Sastry, and D. Goldberg. Genetic Programming and Evolvable Machines, 9 (1): 53--84 (March 2008)
17 years ago by @brazovayeye
show all tags
BOA,
Bayesian
Efficiency
Estimation
HBOA,
Hierarchical
Sporadic
algorithm,
algorithms,
building
distribution
enhancement,
genetic
model
of
optimisation
BOA,BayesianEfficiencyEstimationHBOA,HierarchicalSporadicalgorithm,algorithms,buildingdistributionenhancement,geneticmodelofoptimisation
(0)
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2Balancing Accuracy and Parsimony in Genetic Programming
B. Zhang, and H. Mühlenbein. Evolutionary Computation, 3 (1): 17--38 (1995)
17 years ago by @brazovayeye
show all tags
Bayesian
Evolving
Machine
Minimum
Tree
algorithms,
comparison,
description
genetic
induction,
learning,
length
model
networks.
neural
principle,
programming,
BayesianEvolvingMachineMinimumTreealgorithms,comparison,descriptiongeneticinduction,learning,lengthmodelnetworks.neuralprinciple,programming,
(0)
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1Evolutionary computation-based approach for model error correction and calibration
E. Zechman, and S. Ranjithan. Advances in Water Resources, 30 (5): 1360--1370 (May 2007)
17 years ago by @brazovayeye
show all tags
Calibration,
Evolutionary
Model
algorithms,
computation,
correction
error
genetic
programming,
Calibration,EvolutionaryModelalgorithms,computation,correctionerrorgeneticprogramming,
(0)
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2Probabilistic distribution models for EDA-based GP
K. Yanai, and H. Iba. GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page 1775--1776. Washington DC, USA, ACM Press, (25-29 June 2005)
17 years ago by @brazovayeye
show all tags
PIPE,
Poster,
XEDP
algorithm,
algorithms,
building
building,
computing,
distribution
estimation
evolution,
evolutionary
genetic
model
of
probabilistic
program
programming,
PIPE,Poster,XEDPalgorithm,algorithms,buildingbuilding,computing,distributionestimationevolution,evolutionarygeneticmodelofprobabilisticprogramprogramming,
(0)
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1Online modelling based on Genetic Programming
S. Winkler, H. Efendic, L. Del Re, M. Affenzeller, and S. Wagner. International Journal of Intelligent Systems Technologies and Applications, 2 (2/3): 255--270 (19 February 2007)
17 years ago by @brazovayeye
show all tags
GP,
algorithms,
automatic
data
diagnosis,
driven
fault
genetic
identification,
learning,
machine
model
modelling,
online
programming,
real
self-adaption,
time
GP,algorithms,automaticdatadiagnosis,drivenfaultgeneticidentification,learning,machinemodelmodelling,onlineprogramming,realself-adaption,time
(0)
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1Dynamical model reconstruction and accurate prediction of power-pool time series
V. Varadan, H. Leung, and E. Bosse. IEEE Transactions on Instrumentation and Measurement, 55 (1): 327--336 (February 2006)
17 years ago by @brazovayeye
show all tags
(RBF)
Chaos,
GP,
Lyapunov
Lyapunov-dimension
Lyapunov-spectrum,
algorithms,
analysis,
and
approximations,
attractor-dimension,
basis
calculation,
chaos,
chaotic
correlation-dimension
delay
demand
demand,
dimension,
dynamical
dynamics,
embedding
embedding,
estimates,
estimation,
exponents,
fractal
fractal-dimension
fractals,
function
genetic
least
local
low-dimensional
markets,
methods,
model
net
network,
neural
nonlinear
nonlinearity
power
power-pool
prediction
prediction,
predictor,
price
price,
programming,
radial
reconstruction,
series
series,
squares
state-space
stationarity
system,
systems,
tests,
theory,
time
time-series
(RBF)Chaos,GP,LyapunovLyapunov-dimensionLyapunov-spectrum,algorithms,analysis,andapproximations,attractor-dimension,basiscalculation,chaos,chaoticcorrelation-dimensiondelaydemanddemand,dimension,dynamicaldynamics,embeddingembedding,estimates,estimation,exponents,fractalfractal-dimensionfractals,functiongeneticleastlocallow-dimensionalmarkets,methods,modelnetnetwork,neuralnonlinearnonlinearitypowerpower-poolpredictionprediction,predictor,priceprice,programming,radialreconstruction,seriesseries,squaresstate-spacestationaritysystem,systems,tests,theory,timetime-series
(0)
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1Evolving Programs and Solutions Using Genetic Programming with Application to Learning and Adaptive Control
K. Ng, and R. Johansson. Journal of Intelligent and Robotic Systems, 35 (3): 289--307 (November 2002)
17 years ago by @brazovayeye
show all tags
Lyapunov
adaptive
algorithms,
control,
functions,
genetic
learning
model
programming,
reference
systems
systems,
Lyapunovadaptivealgorithms,control,functions,geneticlearningmodelprogramming,referencesystemssystems,
(0)
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1Differential evolution - an easy and efficient evolutionary algorithm for model optimisation
D. Mayer, B. Kinghorn, and A. Archer. Agricultural Systems, 83 (3): 315--328 (March 2005)
17 years ago by @brazovayeye
show all tags
Beef
Differential
FORTRAN,
Optimisation,
algorithms,
evolution,
genetic
model
programming,
BeefDifferentialFORTRAN,Optimisation,algorithms,evolution,geneticmodelprogramming,
(0)
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2Learning inexpensive parametric design models using an augmented genetic programming technique
P. Matthews, D. Standingford, C. Holden, and K. Wallace. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, (2006)
17 years ago by @brazovayeye
show all tags
Data
Design
Elicitation,
GP-HEM,
Induction,
Knowledge
Metamodels
Mining,
Model
SVM,
algorithms,
demes
genetic
programming,
DataDesignElicitation,GP-HEM,Induction,KnowledgeMetamodelsMining,ModelSVM,algorithms,demesgeneticprogramming,
(0)
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2Genetically evolved models and normality of their fitted residuals
M. Kaboudan. Journal of Economic Dynamics and Control, 25 (11): 1719--1749 (1 November 2001)
17 years ago by @brazovayeye
show all tags
Canadian
Model
Sunspot
algorithms,
data
evaluation,
genetic
lynx
numbers,
programming,
CanadianModelSunspotalgorithms,dataevaluation,geneticlynxnumbers,programming,
(0)
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1The Genetic Kernel Support Vector Machine: Description and Evaluation
T. Howley, and M. Madden. Artificial Intelligence Review, 24 (3-4): 379--395 (2005)
17 years ago by @brazovayeye
show all tags
Kernel
Kernel,
Mercer
SVM,
algorithms,
classification,
genetic
machine
model
programming,
selection,
support
vector
KernelKernel,MercerSVM,algorithms,classification,geneticmachinemodelprogramming,selection,supportvector
(0)
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1Automatic rainfall recharge model induction by evolutionary computational intelligence
Y. Hong, P. White, and D. Scott. Water Resources Research, (2005)
17 years ago by @brazovayeye
show all tags
0555
1805
1816
1829
1847
Canterbury
Computational
Estimation
Geophysics:
Groundwater
Hydrology:
Modelling
Neural
New
Plains,
Zealand,
algorithms,
and
automatic
balance
computational
evolutionary
forecasting;
fuzzy
genetic
hydrology;
induction,
intelligence,
learning;
logic,
machine
model
model,
moisture
networks,
programming,
rainfall
recharge
soil
05551805181618291847CanterburyComputationalEstimationGeophysics:GroundwaterHydrology:ModellingNeuralNewPlains,Zealand,algorithms,andautomaticbalancecomputationalevolutionaryforecasting;fuzzygenetichydrology;induction,intelligence,learning;logic,machinemodelmodel,moisturenetworks,programming,rainfallrechargesoil
(0)
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1Evolutionary self-organising modelling of a municipal wastewater treatment plant
Y. Hong, and R. Bhamidimarri. Water Research, 37 (6): 1199--1212 (2003)
17 years ago by @brazovayeye
show all tags
ASM2
Model
Municipal
Neural
Self-organising
algorithms,
evolution,
genetic
modelling,
network,
plant,
programming,
treatment
wastewater
ASM2ModelMunicipalNeuralSelf-organisingalgorithms,evolution,geneticmodelling,network,plant,programming,treatmentwastewater
(0)
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1Ecological Model Selection via Evolutionary Computation and Information Theory
J. Hoffmann, C. Ellingwood, O. Bonsu, and D. Bentil. Genetic Programming and Evolvable Machines, 5 (2): 229--241 (June 2004)
17 years ago by @brazovayeye
show all tags
algorithms,
complexity-based
fitness,
genetic
model
parsimony,
programming,
representation
selection,
variable-length
algorithms,complexity-basedfitness,geneticmodelparsimony,programming,representationselection,variable-length
(0)
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publications (hide)31
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1Improving Predictability of Simulation Models using Evolutionary Computation-Based Methods for Model Error Correction

7Genetic Programming meets Model-Driven Development

7Genetic Programming meets Model-Driven Development

1Scalable architecture for parallel distributed implementation of genetic programming on network of workstations

2Probabilistic Model Building and Competent Genetic Programming

1Model selection methodology in supervised learning with evolutionary computation

3Sporadic model building for efficiency enhancement of the hierarchical BOA

2Balancing Accuracy and Parsimony in Genetic Programming

1Evolutionary computation-based approach for model error correction and calibration

2Probabilistic distribution models for EDA-based GP

1Online modelling based on Genetic Programming

1Dynamical model reconstruction and accurate prediction of power-pool time series

1Evolving Programs and Solutions Using Genetic Programming with Application to Learning and Adaptive Control

1Differential evolution - an easy and efficient evolutionary algorithm for model optimisation

2Learning inexpensive parametric design models using an augmented genetic programming technique

2Genetically evolved models and normality of their fitted residuals

1The Genetic Kernel Support Vector Machine: Description and Evaluation

1Automatic rainfall recharge model induction by evolutionary computational intelligence

1Evolutionary self-organising modelling of a municipal wastewater treatment plant

1Ecological Model Selection via Evolutionary Computation and Information Theory

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