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CNKI期刊论文0611(66)
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在“
Elsevier电子期刊
”中,
命中:
7,508
条,耗时:0.0529755 秒
在所有数据库中总计命中:
60,146
条
1.
Incorporating Markov decision process on
genetic
algorithms
to formulate trading strategies for stock markets
作者:
Ying-Hua Chang
;
yhchang@mail.tku.edu.tw
;
Ming-Sheng Lee
kevin.lee@mail.im.tku.edu.tw
关键词:
Markov decision processes
;
Genetic
algorithms
;
Stock selection
;
Market timing
;
Capital allocation
;
Portfolio optimization
刊名:Applied Soft Computing
出版年:2017
2.
Efficient mechanical design and limit cycle stability for a humanoid robot: An application of
genetic
algorithms
作者:
Rafael Stanley Nú
;
ñ
;
ez Cruz
;
rnunez@ctrl.cinvestav.mx
Author Vitae
;
Juan Manuel Ibarra Zannatha
jibarra@cinvestav.mx
Author Vitae
关键词:
Optimal Design
;
Passive Dynamic Walkers
;
Genetic
Algorithms
;
Optimal Feedback Control
刊名:Neurocomputing
出版年:2017
3.
Genetic
algorithms
to balanced tree structures in graphs
作者:
Riham Moharam
riham.moharam@science.suez.edu.eg
;
Ehab Morsy
;
ehabmorsy@science.suez.edu.eg
关键词:
Minimum Spanning Tree
;
Shortest Path Tree
;
Tree Spanner
;
Balanced Spanning Tree
;
Minimum Maximum Stretch Spanning Tree
;
Genetic
Algorithms
刊名:Swarm and Evolutionary Computation
出版年:2017
4.
An integrated approach to optimize moving average rules in the EUA futures market based on particle swarm optimization and
genetic
algorithms
作者:
Xiaojia Liu
a
;
b
;
Haizhong An
a
;
b
;
c
;
ahz369@163.com
;
Lijun Wang
a
;
b
;
Xiaoliang Jia
a
;
b
关键词:
Carbon emission trading
;
EUA futures market
;
Moving average trading rules
;
Particle swarm optimization
;
Genetic
algorithms
刊名:Applied Energy
出版年:2017
5.
Three-dimensional microscope vision system based on micro laser line scanning and adaptive
genetic
algorithms
作者:
J. Apolinar
;
Muñ
;
oz Rodrí
;
guez
munoza@foton.cio.mx" class="auth_mail" title="E-mail the corresponding author
关键词:
Microscope vision system
;
Micro laser line scanning
;
Adaptive
genetic
algorithms
刊名:Optics Communications
出版年:2017
6.
Optimization of linear zigzag insert metastructures for low-frequency vibration attenuation using
genetic
algorithms
作者:
Osama Abdeljaber
a
;
o.abdeljaber@qu.edu.qa" class="auth_mail" title="E-mail the corresponding author
;
Onur Avci
a
;
onur.avci@qu.edu.qa" class="auth_mail" title="E-mail the corresponding author
;
Serkan Kiranyaz
b
;
mkiranyaz@qu.edu.qa" class="auth_mail" title="E-mail the corresponding author
;
Daniel J. Inman
c
;
daninman@umich.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Metastructures
;
Zigzag insert metastructures
;
Vibration attenuation
;
Genetic
algorithms
刊名:Mechanical Systems and Signal Processing
出版年:2017
7.
Missing data imputation of questionnaires by means of
genetic
algorithms
with different fitness functions
作者:
Celestino Ordó
;
ñ
;
ez Galá
;
n
a
;
Fernando Sá
;
nchez Lasheras
b
;
sanchezfernando@uniovi.es" class="auth_mail" title="E-mail the corresponding author
;
Francisco Javier de Cos Juez
a
;
Antonio Bernardo Sá
;
nchez
b
关键词:
Imputation method
;
Item response theory
;
Genetic
algorithms
;
Multivariate imputation by chained equations (MICE)
;
Missing data
刊名:Journal of Computational and Applied Mathematics
出版年:2017
8.
Effects of different chromosome representations in developing
genetic
algorithms
to solve DFJS scheduling problems
作者:
Muh-Cherng Wu
;
mcwu@mail.nctu.edu.tw
;
Chi-Shiuan Lin
pleasantbaby@yahoo.com.tw
;
Chia-Hui Lin
;
Chen-Fu Chen
关键词:
Scheduling
;
Distributed flexible job shop
;
Genetic
algorithm
;
Chromosome representation
刊名:Computers & Operations Research
出版年:2017
9.
InterVar: Clinical Interpretation of
Genetic
Variants by the 2015 ACMG-AMP Guidelines
作者:
Quan Li
1
;
4
;
Kai Wang
1
;
2
;
3
;
kw2701@cumc.columbia.edu
关键词:
InterVar
;
variant annotation
;
variant interpretation
;
clinical interpretation
;
ClinVar
;
genetic
diagnosis
;
ACMG
;
ANNOVAR
刊名:The American Journal of Human
Genetic
s
出版年:2017
10.
Swarm Intelligence and Evolutionary
Algorithms
: Performance versus speed
作者:
Adam P. Piotrowski
a
;
adampp@igf.edu.pl
;
Maciej J. Napiorkowski
b
;
maciejnap@gmail.com
;
Jaroslaw J. Napiorkowski
a
;
jnn@igf.edu.pl
;
Pawel M. Rowinski
a
关键词:
Convergence speed
;
Genetic
Algorithm
;
Differential Evolution
;
Particle Swarm Optimization
;
Biogeography-based optimization
;
Direct Search method
刊名:Information Sciences
出版年:2017
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