D > OPTIMIZATION, optimization,

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1Reorganization of Cities with Hot Climates
K. Q.. International Journal on Integrated Education (IJIE), 6 (2): 195-198 (February 2023)
a year ago by @researchpark_20
show all tags
microclimate,
silhouette,
optimization,
dynamics,
gas
exchange
pair
microclimate,silhouette,optimization,dynamics,gasexchangepair
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2Use of an Eigenmode Method To Locate the Stationary Points on the Potential Energy Surfaces of Selected Argon and Water Clusters
C. Tsai, and K. Jordan. (1993)
15 years ago by @dhruvbansal
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optimization,
algorithm,
root_finding,
computational
eigenmode,
optimization,algorithm,root_finding,computationaleigenmode,
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2Techniques for highly multiobjective optimisation: some nondominated points are better than others
D. Corne, and J. Knowles. GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, page 773--780. New York, NY, USA, ACM, (2007)
16 years ago by @earthfare
show all tags
selection
multiobjective,
optimization,
ranking,
selectionmultiobjective,optimization,ranking,
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1On error minimization in a sequential origin of the standard genetic code
D. Ardell. Journal of Molecular Evolution, 47 (1): 1--13 (1998)
16 years ago by @sidney
show all tags
amino_acid_substitution_matrices,
SEQUENCES,
codon_context,
DISTANCES,
G/C_bias,
OPTIMIZATION,
ESCHERICHIA-COLI,
RNA_world
ORGANIZATION,
MATRICES,
transition_bias,
TRANSFER-RNAS,
error_minimization,
STRUCTURE_PREDICTION,
translational_error
RNY_hypothesis,
AMINO-ACID_SUBSTITUTION,
EVOLUTION,
amino_acid_substitution_matrices,SEQUENCES,codon_context,DISTANCES,G/C_bias,OPTIMIZATION,ESCHERICHIA-COLI,RNA_worldORGANIZATION,MATRICES,transition_bias,TRANSFER-RNAS,error_minimization,STRUCTURE_PREDICTION,translational_errorRNY_hypothesis,AMINO-ACID_SUBSTITUTION,EVOLUTION,
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1Multi-Objective Methods for Tree Size Control
E. de Jong, and J. Pollack. Genetic Programming and Evolvable Machines, 4 (3): 211--233 (September 2003)
17 years ago by @brazovayeye
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genetic
code
optimality,
optimization,
representations,
Pareto
algorithms,
bloat,
size
programming,
interpretability
growth,
variable
multi-objective
geneticcodeoptimality,optimization,representations,Paretoalgorithms,bloat,sizeprogramming,interpretabilitygrowth,variablemulti-objective
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1Reducing Bloat and Promoting Diversity using Multi-Objective Methods
E. de Jong, R. Watson, and J. Pollack. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page 11--18. San Francisco, California, USA, Morgan Kaufmann, (7-11 July 2001)
17 years ago by @brazovayeye
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genetic
Pareto,
code
optimality
optimization,
introns,
algorithms,
diversity
bloat,
programming,
maintenance,
growth,
evolutionary
multi-objective
geneticPareto,codeoptimalityoptimization,introns,algorithms,diversitybloat,programming,maintenance,growth,evolutionarymulti-objective
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publications (hide)6
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1Reorganization of Cities with Hot Climates

2Use of an Eigenmode Method To Locate the Stationary Points on the Potential Energy Surfaces of Selected Argon and Water Clusters

2Techniques for highly multiobjective optimisation: some nondominated points are better than others

1On error minimization in a sequential origin of the standard genetic code

1Multi-Objective Methods for Tree Size Control

1Reducing Bloat and Promoting Diversity using Multi-Objective Methods

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publications (hide)6 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

1Reorganization of Cities with Hot Climates

2Use of an Eigenmode Method To Locate the Stationary Points on the Potential Energy Surfaces of Selected Argon and Water Clusters

2Techniques for highly multiobjective optimisation: some nondominated points are better than others

1On error minimization in a sequential origin of the standard genetic code

1Multi-Objective Methods for Tree Size Control

1Reducing Bloat and Promoting Diversity using Multi-Objective Methods

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tags

publications (hide)6
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