tag :: EQUATIONS, programming,

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1Solving differential equations with genetic programming
I. Tsoulos, and I. Lagaris. Genetic Programming and Evolvable Machines, 7 (1): 33--54 (March 2006)
17 years ago by @brazovayeye
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Differential
Evolutionary
Grammatical
algorithms,
equations,
evolution,
genetic
modelling
programming,
DifferentialEvolutionaryGrammaticalalgorithms,equations,evolution,geneticmodellingprogramming,
(0)
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1Evolutionary synthesis of digital filter structures using genetic programming
K. Uesaka, and M. Kawamata. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 50 (12): 977--983 (December 2003)
17 years ago by @brazovayeye
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IIR
S-expressions,
algorithms,
automatically
computability,
defined
difference
digital
effects,
equations,
errors,
evolutionary
filter
filter,
filters,
fitness
fourth-order
function
functions,
genetic
global
infinite-impulse
low-coefficient
low-output
matrices,
matrix
measure,
method,
noise,
optimization,
programming,
representation,
response
roundoff
sensitivity,
structures,
subroutines,
synthesis
transfer
wordlength
IIRS-expressions,algorithms,automaticallycomputability,defineddifferencedigitaleffects,equations,errors,evolutionaryfilterfilter,filters,fitnessfourth-orderfunctionfunctions,geneticglobalinfinite-impulselow-coefficientlow-outputmatrices,matrixmeasure,method,noise,optimization,programming,representation,responseroundoffsensitivity,structures,subroutines,synthesistransferwordlength
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1Declarative and Preferential Bias in GP-based Scientific Discovery
M. Keijzer, and V. Babovic. Genetic Programming and Evolvable Machines, 3 (1): 41--79 (March 2002)
17 years ago by @brazovayeye
show all tags
algorithms,
coercion
empirical
equations,
genetic
hydraulics
programming,
regression,
strong
symbolic
typing,
algorithms,coercionempiricalequations,genetichydraulicsprogramming,regression,strongsymbolictyping,
(0)
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1Genetic Programming solution of the convection-diffusion equation
D. Howard, and S. Roberts. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page 34--41. San Francisco, California, USA, Morgan Kaufmann, (7-11 July 2001)
17 years ago by @brazovayeye
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FEM,
WRM,
algorithms,
convection-diffusion,
differential
equations,
genetic
method
numerical
programming,
FEM,WRM,algorithms,convection-diffusion,differentialequations,geneticmethodnumericalprogramming,
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2Evolution of Mesh Refinement Rules for Impact Dynamics
D. Howard, and S. Roberts. Proceedings of the 2000 Congress on Evolutionary Computation CEC00, page 1297--1303. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (6-9 July 2000)
17 years ago by @brazovayeye
show all tags
(artificial
(mechanical),
Programming,
adaptive
algorithms,
applications
ball,
cells,
computation,
computing,
densities,
differential
dynamics,
engineering
equations,
evolution,
evolutionary
genetic
high
i,mpact
impact
impact,
intelligence),
learning
learning,
material
mechanical
mesh
metal
novel
partial
plate
refinement
refinement,
rule
speed
spherical
(artificial(mechanical),Programming,adaptivealgorithms,applicationsball,cells,computation,computing,densities,differentialdynamics,engineeringequations,evolution,evolutionarygenetichighi,mpactimpactimpact,intelligence),learninglearning,materialmechanicalmeshmetalnovelpartialplaterefinementrefinement,rulespeedspherical
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1Nonlinear model structure identification using genetic programming
G. Gray, D. Murray-Smith, Y. Li, K. Sharman, and T. Weinbrenner. Control Engineering Practice, 6 (11): 1341--1352 (1998)
17 years ago by @brazovayeye
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(control
Computer
Control
Differential
Error
Helicopter
Identification
Mathematical
Nonlinear
Speed
Water
algorithms,
analysis
analysis,
control
control,
dynamics,
equations,
genetic
helicopter
identification,
models,
nonlinear
programming,
rotors,
simulation,
system
systems),
systems,
tanks,
(controlComputerControlDifferentialErrorHelicopterIdentificationMathematicalNonlinearSpeedWateralgorithms,analysisanalysis,controlcontrol,dynamics,equations,genetichelicopteridentification,models,nonlinearprogramming,rotors,simulation,systemsystems),systems,tanks,
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1Genetic programming and its applications to the synthesis of digital logic
K. Dill, J. Herzog, and M. Perkowski. Communications, Computers and Signal Processing, PACRIM 1997, 2, page 823--826. Victoria, BC, Canada, (20-22 August 1997)
17 years ago by @brazovayeye
show all tags
CAD,
algorithms,
applicability,
arbitrary
circuits,
complete
coverage,
criterion,
designed
digital
equations,
experimental
expressions,
function
functions,
gates,
genetic
input
logic
optimization
population
problem
programming,
randomly
recognition
results,
set
sets,
size,
sizes,
small
synthesis,
test
training
variables,
CAD,algorithms,applicability,arbitrarycircuits,completecoverage,criterion,designeddigitalequations,experimentalexpressions,functionfunctions,gates,geneticinputlogicoptimizationpopulationproblemprogramming,randomlyrecognitionresults,setsets,size,sizes,smallsynthesis,testtrainingvariables,
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1Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming
H. Cao, L. Kang, Y. Chen, and J. Yu. Genetic Programming and Evolvable Machines, 1 (4): 309--337 (October 2000)
17 years ago by @brazovayeye
show all tags
algorithms,
differential
equation
equations,
evolutionary
genetic
higher-order
modeling,
of
ordinary
programming,
system
algorithms,differentialequationequations,evolutionarygenetichigher-ordermodeling,ofordinaryprogramming,system
(0)
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publications (hide)8
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1Solving differential equations with genetic programming

1Evolutionary synthesis of digital filter structures using genetic programming

1Declarative and Preferential Bias in GP-based Scientific Discovery

1Genetic Programming solution of the convection-diffusion equation

2Evolution of Mesh Refinement Rules for Impact Dynamics

1Nonlinear model structure identification using genetic programming

1Genetic programming and its applications to the synthesis of digital logic

1Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming

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