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1Evolutionary Computation in Intelligent Network Management
A. Abraham. Evolutionary Computing in Data Mining, volume 163 of Studies in Fuzziness and Soft Computing, chapter 9, Springer, (2004)
17 years ago by @brazovayeye
show all tags
genetic
Programming,
GP,
decision
inference,
Linear
intrusion
topology),
i-miner
LGP,
machine
clustering,
(ring
code
32-bit
www,
SVM,
Genetic
demes
FPU
algorithms,
computer
ANN,
programming,
security,
detection,
RIPPER,
state
fuzzy
steady
trees,
geneticProgramming,GP,decisioninference,Linearintrusiontopology),i-minerLGP,machineclustering,(ringcode32-bitwww,SVM,GeneticdemesFPUalgorithms,computerANN,programming,security,detection,RIPPER,statefuzzysteadytrees,
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1Soft computing paradigms for hybrid fuzzy controllers: experiments and applications
M. Akbarzadeh-T., E. Tunstel, K. Kumbla, and M. Jamshidi. Proceedings of the 1998 IEEE World Congress on Computational Intelligence, 2, page 1200--1205. Anchorage, Alaska, USA, IEEE Press, (5-9 May 1998)
17 years ago by @brazovayeye
show all tags
algorithm-fuzzy
genetic
behavior-based
mobile
task
intelligence,
hybrid
flexible
networks,
machine
added
DC
drive
controller,
motor,
neural
ability,
controllers,
brushless
direct
learning
motors,
robots,
paradigms,
adaptation,
planning,
systems,
path
link,
algorithms,
programming-fuzzy
robot
manipulators,
computing
navigation
neurocontrollers,
hierarchical
programming,
schemes,
control,
soft
programs,
fuzzy
logic-based
algorithm-fuzzygeneticbehavior-basedmobiletaskintelligence,hybridflexiblenetworks,machineaddedDCdrivecontroller,motor,neuralability,controllers,brushlessdirectlearningmotors,robots,paradigms,adaptation,planning,systems,pathlink,algorithms,programming-fuzzyrobotmanipulators,computingnavigationneurocontrollers,hierarchicalprogramming,schemes,control,softprograms,fuzzylogic-based
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1Soft computing for autonomous robotic systems
M. Akbarzadeh-T., K. Kumbla, E. Tunstel, and M. Jamshidi. Computers and Electrical Engineering, 26 (1): 5--32 (2000)
17 years ago by @brazovayeye
show all tags
genetic
Robotic
Articial
Soft
intelligence
computing,
algorithms,
networks,
programming,
Fuzzy
logic,
control,
Neural
geneticRoboticArticialSoftintelligencecomputing,algorithms,networks,programming,Fuzzylogic,control,Neural
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1Evolutionary Design of Fuzzy Logic Controllers Using Strongly-Typed GP
E. Alba, C. Cotta, and J. Troya. Mathware & Soft Computing, 6 (1): 109--124 (1999)
17 years ago by @brazovayeye
show all tags
genetic
Type
algorithms,
Cart-Centering
System,
programming,
Controller,
Fuzzy
Problem
Logic
geneticTypealgorithms,Cart-CenteringSystem,programming,Controller,FuzzyProblemLogic
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2System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming
J. Baldwin, T. Martin, and J. Shanahan. Fuzzy Logic in Artificial Intelligence, IJCAI'97 Workshop, Selected and Invited Papers, volume 1566 of Lecture Notes in Artificial Intelligence, page 91--116. Nagoya, Japan, Springer, (August 1997)Published 1999.
17 years ago by @brazovayeye
show all tags
genetic
artificial
algorithms,
intelligence,
programming,
logic,
fuzzy
IJCAI
geneticartificialalgorithms,intelligence,programming,logic,fuzzyIJCAI
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1GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference
A. Barry (Eds.) New York, AAAI, (8 July 2002)
17 years ago by @brazovayeye
show all tags
genetic
strategies,
niching,
annealing,
implementation,
model,
evolution
computation,
system,
industrial
learning,
machine
series
algorithm,
co-evolution,
time
case-based
evolutionary
optimization,
learning
grammatical
linkage
planning,
reasoning,
algorithms,
evolution,
parallel
design
prediction,
programming,
scheduling,
simulated
classifier
fuzzy
agents,
applications,
multi-objective
geneticstrategies,niching,annealing,implementation,model,evolutioncomputation,system,industriallearning,machineseriesalgorithm,co-evolution,timecase-basedevolutionaryoptimization,learninggrammaticallinkageplanning,reasoning,algorithms,evolution,paralleldesignprediction,programming,scheduling,simulatedclassifierfuzzyagents,applications,multi-objective
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1GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference
A. Barry (Eds.) Chigaco, AAAI, (11 July 2003)
17 years ago by @brazovayeye
show all tags
genetic
strategies,
annealing,
implementation,
model,
evolution
computation,
system,
learning,
machine
series
algorithm,
co-evolution,
time
case-based
evolutionary
optimization,
learning
grammatical
planning,
representations
reasoning,
algorithms,
evolution,
parallel
design
prediction,
programming,
scheduling,
simulated
classifier
fuzzy
agents,
multi-objective
geneticstrategies,annealing,implementation,model,evolutioncomputation,system,learning,machineseriesalgorithm,co-evolution,timecase-basedevolutionaryoptimization,learninggrammaticalplanning,representationsreasoning,algorithms,evolution,paralleldesignprediction,programming,scheduling,simulatedclassifierfuzzyagents,multi-objective
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1BioX++ -- New results and conceptions concerning the intelligent control of biotechnological processes
K. Bettenhausen, S. Gehlen, P. Marenbach, and H. Tolle. 6th International Conference on Computer Applications in Biotechnology, page 324--327. Elsevier Science, (1995)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
fermentation,
Expert
biotechnology
networks,
neural
learning
control,
fuzzy
systems,
programming
geneticalgorithms,fermentation,Expertbiotechnologynetworks,neurallearningcontrol,fuzzysystems,programming
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1Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference
S. Brave, and A. Wu (Eds.) Orlando, Florida, USA, (13 July 1999)
17 years ago by @brazovayeye
show all tags
Programming,
Evolutionary
Algorithms,
Genetic
rules
fuzzy
Programming,EvolutionaryAlgorithms,Geneticrulesfuzzy
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1A hybrid image restoration approach: Using fuzzy punctual kriging and genetic programming
A. Chaudhry, A. Khan, A. Ali, and A. Mirza. International Journal of Imaging Systems and Technology, 17 (4): 224--231 (2007)
17 years ago by @brazovayeye
show all tags
image
genetic
kriging,
index
measure,
structure
adaptive
algorithms,
restoration,
programming,
similarity
logic,
spatial
fuzzy
filtering
punctual
SSIM,
imagegenetickriging,indexmeasure,structureadaptivealgorithms,restoration,programming,similaritylogic,spatialfuzzyfilteringpunctualSSIM,
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1A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems
O. Cordon, F. Moya, and C. Zarco. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 6 (5): 308--319 (August 2002)
17 years ago by @brazovayeye
show all tags
Relevance
feedback,
genetic
retrieval,
algorithms,
programming,
Simulated
Evolutionary
Fuzzy
information
annealing
Relevancefeedback,geneticretrieval,algorithms,programming,SimulatedEvolutionaryFuzzyinformationannealing
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1Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques
O. Cordon, F. Herrera, and L. Sanchez. Applied Intelligence, 10 (1): 5--24 (January 1999)
17 years ago by @brazovayeye
show all tags
genetic
electrical
data
rule-based
systems
algorithms,
program,
programming,
analysis,
engineering,
evolutionary
fuzzy
algorithm
geneticelectricaldatarule-basedsystemsalgorithms,program,programming,analysis,engineering,evolutionaryfuzzyalgorithm
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1Projeto Automatico de Sistemas Nebulosos: Uma Abordagem Co-Evolutiva
M. da Silva Delgado. FACULDADE DE ENGENHARIA ELETRICA E DE COMPUTACAO, UNIVERSIDADE ESTADUAL DE CAMPINAS, (26 February 2002)
17 years ago by @brazovayeye
show all tags
genetic
systems
algorithms,
fuzzy
geneticsystemsalgorithms,fuzzy
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1Air Pollution Monitoring using Genetic Algorithm, Fuzzy Logic and Neural Networks
P. de Souza Jr.. IFAC/IFIP Conference on Management and Control of Production and Logistics, page 763--766. IFAC, (1997)?DOUBLE CHECK?.
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
Mossbauer
neural
air
pollution,
logic,
networks
fuzzy
spectroscopy,
geneticalgorithms,Mossbauerneuralairpollution,logic,networksfuzzyspectroscopy,
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1Automation in Mössbauer Spectroscopy Data Analysis
P. de Souza Jr.. Laboratory Robotics and Automation, 11 (1): 3--23 (1999)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
Mossbauer
networks,
neural
spectroscopy
logic,
fuzzy
geneticalgorithms,Mossbauernetworks,neuralspectroscopylogic,fuzzy
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1Automation of the analysis of Mossbauer spectra
P. de Souza Jr., R. Garg, and V. Garg. Hyperfine Interactions, (1998)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
networks,
neural
spectroscopy
logic,
M{\"{o}}ssbauer
fuzzy
geneticalgorithms,networks,neuralspectroscopylogic,M{\"{o}}ssbauerfuzzy
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1PWR's Xenon oscillation control through a fuzzy expert system automatically designed by means of genetic programming
R. Domingos, G. Caldas, C. Pereira, and R. Schirru. Applied Soft Computing, 3 (4): 317--323 (December 2003)
17 years ago by @brazovayeye
show all tags
Axial
genetic
algorithms,
oscillations
xenon
programming,
Fuzzy
control;
logic
Axialgeneticalgorithms,oscillationsxenonprogramming,Fuzzycontrol;logic
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1An Experimental and Comparative Study of Fuzzy PID Controller Structures
L. dos Santos Coelho, and A. Coelh. Advances in Soft Computing - Engineering Design and Manufacturing, (21-30 June 1998)
17 years ago by @brazovayeye
show all tags
Control,
Control
Fuzzy
logic
Experimental
process,
PID
control,
applications.
Control,ControlFuzzylogicExperimentalprocess,PIDcontrol,applications.
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1The MIT Beer Distribution Game Revisited: Genetic Machine Learning and Managerial Behavior in a Dynamic Decision Making Experiment
A. Geyer-Schulz. Genetic Algorithms and Soft Computing, volume 8 of Studies in Fuzziness and Soft Computing, page 658--682. Heidelberg, Physica-Verlag, (September 1996)
17 years ago by @brazovayeye
show all tags
genetic
organizational
gaming,
simulation,
Experimental
programming.
system
algorithms,
learning,
economics,
programming,
dynamics,
fuzzy
geneticorganizationalgaming,simulation,Experimentalprogramming.systemalgorithms,learning,economics,programming,dynamics,fuzzy
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1Regression Analysis on Uncertain Data
W. Golubski. WSEAS IMCCAS-ISA-SOSM and MEM-MCP, Cancun, Mexico, (May 2002)
17 years ago by @brazovayeye
show all tags
genetic
Programming,
Application
algorithms,
programming,
Evolutionary
Analysis,
Fuzzy
Numbers,
Genetic
Regression
Algorithm,
geneticProgramming,Applicationalgorithms,programming,EvolutionaryAnalysis,FuzzyNumbers,GeneticRegressionAlgorithm,
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publications (hide)45
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1Evolutionary Computation in Intelligent Network Management

1Soft computing paradigms for hybrid fuzzy controllers: experiments and applications

1Soft computing for autonomous robotic systems

1Evolutionary Design of Fuzzy Logic Controllers Using Strongly-Typed GP

2System Identification of Fuzzy Cartesian Granules Feature Models Using Genetic Programming

1GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference

1GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference

1BioX++ -- New results and conceptions concerning the intelligent control of biotechnological processes

1Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference

1A hybrid image restoration approach: Using fuzzy punctual kriging and genetic programming

1A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems

1Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques

1Projeto Automatico de Sistemas Nebulosos: Uma Abordagem Co-Evolutiva

1Air Pollution Monitoring using Genetic Algorithm, Fuzzy Logic and Neural Networks

1Automation in Mössbauer Spectroscopy Data Analysis

1Automation of the analysis of Mossbauer spectra

1PWR's Xenon oscillation control through a fuzzy expert system automatically designed by means of genetic programming

1An Experimental and Comparative Study of Fuzzy PID Controller Structures

1The MIT Beer Distribution Game Revisited: Genetic Machine Learning and Managerial Behavior in a Dynamic Decision Making Experiment

1Regression Analysis on Uncertain Data

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