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1GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures
L. Virirakis. IEEE Transactions on Evolutionary Computation, 7 (5): 456--481 (October 2003)
17 years ago by @brazovayeye
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CAD,
G-CAD,
GENETICA,
GP,
abstractions,
algorithms,
architectural
artificial
computation,
computer
data
design,
domain
environment
environments,
evolutionary
evolving
experimental
expression,
formal
general
generation
genetic
genotypes,
high
intelligence,
language,
languages,
level
logic,
method,
optimization,
problem
problem-solving
problem-solving,
programming
programming,
results,
scenarios,
solving,
specific
structure,
structures,
CAD,G-CAD,GENETICA,GP,abstractions,algorithms,architecturalartificialcomputation,computerdatadesign,domainenvironmentenvironments,evolutionaryevolvingexperimentalexpression,formalgeneralgenerationgeneticgenotypes,highintelligence,language,languages,levellogic,method,optimization,problemproblem-solvingproblem-solving,programmingprogramming,results,scenarios,solving,specificstructure,structures,
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1The invention of CMOS amplifiers using genetic programming and current-flow analysis
T. Sripramong, and C. Toumazou. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 21 (11): 1237--1252 (November 2002)
17 years ago by @brazovayeye
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CAD,
CMOS
ICs,
algorithms,
amplifiers,
analog
analogue
analysis
analysis,
automated
circuit
circuits,
computing,
current-flow
design
design,
differential
environment,
genetic
integrated
method,
operational
optimisation
optimisation,
programming,
rules
system,
topology-independent
CAD,CMOSICs,algorithms,amplifiers,analoganalogueanalysisanalysis,automatedcircuitcircuits,computing,current-flowdesigndesign,differentialenvironment,geneticintegratedmethod,operationaloptimisationoptimisation,programming,rulessystem,topology-independent
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2Automated hardware design using genetic programming, VHDL, and FPGAs
R. Popp, D. Montana, R. Gassner, G. Vidaver, and S. Iyer. IEEE International Conference on Systems, Man, and Cybernetics, 3, page 2184--2189. San Diego, CA USA, IEEE, (11-14 October 1998)
17 years ago by @brazovayeye
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CAD,
Description
FPGA,
Hardware
Language,
VHDL,
VHSIC
algorithms,
arrays,
automated
circuit
configuration
description
design
design,
evolution,
field
gate
genetic
hardware
languages,
logic,
management,
optimisation,
programmable
programming,
requirements,
software
system
variants
CAD,DescriptionFPGA,HardwareLanguage,VHDL,VHSICalgorithms,arrays,automatedcircuitconfigurationdescriptiondesigndesign,evolution,fieldgategenetichardwarelanguages,logic,management,optimisation,programmableprogramming,requirements,softwaresystemvariants
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1Genetic Programming, Proceedings of EuroGP'2001
J. Miller, M. Tomassini, P. Lanzi, C. Ryan, A. Tettamanzi, and W. Langdon (Eds.) volume 2038 of LNCS, Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
17 years ago by @brazovayeye
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Active
Animat,
Arm,
Artificial
BDD,
Bloat,
Block-oriented
Boolean
CAD,
Causality,
Cellular
Character
Complexity,
Computational
Contour
Controller
Crossover
DNA,
Developmental
Discovery,
Dynamic
Evolution
Evolution,
Evolvability,
Evolvable
Extraction,
Feature
Fitness,
Fixed
Function
Generator,
Genetic
Genotype-Phenotype
Grammatical
Hardware,
Image
Intrinsic
Inverse
Iterated
Kinematics,
Knowledge
Layered
Learning,
Length
Linear
MAX
Machine
Mapping,
Multi-expression
Multipopulation
Neutral
One-then-zeros
Parallel
Pattern
Polymorphism,
Problem
Problem,
Process
Program
Reasoning,
Recognition,
Regression,
Retina,
Robotic
STGP,
Series
Symbolic
Systems,
Time
Trees,
Turing
VHDL,
VLSI
algorithms,
bias,
control,
design,
detection,
distributed
distributions,
function
genetic
individuals,
landscape,
machines,
model,
modelling,
modular
mutation,
of
points,
prediction,
problem,
processing,
programming,
representation,
representations,
robot,
robust,
size,
structures,
ActiveAnimat,Arm,ArtificialBDD,Bloat,Block-orientedBooleanCAD,Causality,CellularCharacterComplexity,ComputationalContourControllerCrossoverDNA,DevelopmentalDiscovery,DynamicEvolutionEvolution,Evolvability,EvolvableExtraction,FeatureFitness,FixedFunctionGenerator,GeneticGenotype-PhenotypeGrammaticalHardware,ImageIntrinsicInverseIteratedKinematics,KnowledgeLayeredLearning,LengthLinearMAXMachineMapping,Multi-expressionMultipopulationNeutralOne-then-zerosParallelPatternPolymorphism,ProblemProblem,ProcessProgramReasoning,Recognition,Regression,Retina,RoboticSTGP,SeriesSymbolicSystems,TimeTrees,TuringVHDL,VLSIalgorithms,bias,control,design,detection,distributeddistributions,functiongeneticindividuals,landscape,machines,model,modelling,modularmutation,ofpoints,prediction,problem,processing,programming,representation,representations,robot,robust,size,structures,
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1Genetic Programming in Industrial Analog CAD: Applications and Challenges
T. McConaghy, and G. Gielen. Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 19, Springer, Ann Arbor, (12-14 May 2005)
17 years ago by @brazovayeye
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Analogue,
CAD,
Industrial,
Robust,
Synthesis,
Yield
algorithms,
genetic
programming,
Analogue,CAD,Industrial,Robust,Synthesis,Yieldalgorithms,geneticprogramming,
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1GA Automated Design and Synthesis of Analog Circuits with Practical Constrains
C. Goh, and Y. Li. Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page 170--177. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, (27-30 May 2001)
17 years ago by @brazovayeye
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CAD,
Circuit
PSpice
Synthesis,
algorithms,
components,
genetic
preferred
programming,
value
CAD,CircuitPSpiceSynthesis,algorithms,components,geneticpreferredprogramming,value
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1Heuristic Learning based on Genetic Programming
N. Drechsler, F. Schmiedle, D. Grosse, and R. Drechsler. Genetic Programming, Proceedings of EuroGP'2001, volume 2038 of LNCS, page 1--10. Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
17 years ago by @brazovayeye
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BDD,
Binary
CAD,
Decision
Diagrams
Heuristic
Learning,
VLSI
algorithms,
genetic
programming,
BDD,BinaryCAD,DecisionDiagramsHeuristicLearning,VLSIalgorithms,geneticprogramming,
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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
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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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1GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures

1The invention of CMOS amplifiers using genetic programming and current-flow analysis

2Automated hardware design using genetic programming, VHDL, and FPGAs

1Genetic Programming, Proceedings of EuroGP'2001

1Genetic Programming in Industrial Analog CAD: Applications and Challenges

1GA Automated Design and Synthesis of Analog Circuits with Practical Constrains

1Heuristic Learning based on Genetic Programming

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

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