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在“
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”中,
命中:
2,667
条,耗时:0.0539727 秒
在所有数据库中总计命中:
5,432
条
1.
Shape and size determination of plasmonic nano
particle
s using
particle
swarm
optimization
algorithm
based absorption coefficient
作者:
M. Goodarzi
;
m.goodarzi@sutech.ac.ir
;
A. Fakharzadeh J.
fakharzadeh@sutech.ac.ir
关键词:
Plasmonic nano
particle
;
Optimization
algorithm
;
PSO
algorithm
刊名:Optik - International Journal for Light and Electron Optics
出版年:2017
2.
Using the
particle
swarm
optimization
algorithm
to calibrate the parameters relating to the turbulent flux in the surface layer in the source region of the Yellow River
作者:
Qidong Yang
a
;
yangqd@ynu.edu.cn
;
Jian Wu
a
;
Yueqing Li
b
;
Weidong Li
a
;
Lijuan Wang
c
;
Yang Yang
c
关键词:
Maqu station
;
Monin-Obukhov similarity theory
;
Particle
swarm
optimization
algorithm
;
Source region of the Yellow River
刊名:Agricultural and Forest Meteorology
出版年:2017
3.
Optimal design of linear phase multi-band stop filters using improved cuckoo search
particle
swarm
optimization
作者:
Judhisthir Dash
a
;
jd.08@aol.in
;
jdash@silicon.ac.in
;
Bivas Dam
b
;
Rajkishore Swain
c
关键词:
Multiband stop filter
;
Particle
swarm
optimization
;
Improved cuckoo-search
algorithm
;
ICSPSO
algorithm
;
Error fitness
刊名:Applied Soft Computing
出版年:2017
4.
Sizing and layout design of truss structures under dynamic and static constraints with an integrated
particle
swarm
optimization
algorithm
作者:
Ali Mortazavi
a
;
Vedat Toğan
b
;
togan@ktu.edu.tr
关键词:
Particle
swarm
optimization
;
Weighted
particle
;
Improved fly-back mechanism
;
Layout and sizing optimization of truss structures
刊名:Applied Soft Computing
出版年:2017
5.
Particle
swarm
optimization using multi-level adaptation and purposeful detection operators
作者:
Xuewen Xia
;
a
;
b
;
xwxia@whu.edu.cn
;
Chengwang Xie
a
;
b
;
Bo Wei
a
;
b
;
Zhongbo Hu
c
;
Bojian Wang
a
;
b
;
Chang Jin
a
;
b
关键词:
Particle
swarm
optimization
;
Multi-level adaptation
;
Purposeful detection
;
Local-learning strategy
;
Numerical optimization
刊名:Information Sciences
出版年:2017
6.
Simultaneous allocation of distributed energy resource using improved
particle
swarm
optimization
作者:
Neeraj Kanwar
a
;
Nikhil Gupta
a
;
K.R. Niazi
a
;
Anil Swarnkar
a
;
R.C. Bansal
b
;
rcbansal@ieee.org
关键词:
Distributed energy resources
;
Distribution network reconfiguration
;
Improved
particle
swarm
optimization
;
Guided search
algorithm
;
Smart grids
刊名:Applied Energy
出版年:2017
7.
Using
particle
swarm
optimization
algorithm
to search for a power ascension path of boiling water reactors
作者:
Tzung-Yi Lin
;
joey.tylin@gmail.com
;
Jau-Tyne Yeh
;
Weng-Sheng Kuo
关键词:
Particle
swarm
optimization
algorithm
;
Power ascension of boiling water reactors
;
Operating point searching strategy
;
ASCENTB
刊名:Annals of Nuclear Energy
出版年:2017
8.
Particle
swarm
optimizer for weighting factor selection in intensity-modulated radiation therapy optimization
algorithm
s
作者:
Jie Yang
a
;
b
;
Pengcheng Zhang
a
;
Liyuan Zhang
a
;
Huazhong Shu
c
;
d
;
Baosheng Li
e
;
Zhiguo Gui
a
;
f
;
gzgtg@163.com
关键词:
Intensity-modulated radiation therapy
;
Optimization
;
Automated planning
;
Treatment planning
;
Particle
swarm
optimization
刊名:Physica Medica
出版年:2017
9.
A novel hybrid teaching learning based multi-objective
particle
swarm
optimization
作者:
Tingli Cheng
a
;
tingli_cheng@126.com
Author Vitae
;
Minyou Chen
a
Author Vitae
;
Peter J. Fleming
b
Author Vitae
;
Zhile Yang
c
;
Shaojun Gan
c
关键词:
Multi-objective optimization
;
Particle
swarm
optimization
;
Teaching learning based optimization
;
Crowded sorting
刊名:Neurocomputing
出版年:2017
10.
A new controller for DC-DC converters based on
particle
swarm
optimization
作者:
J.B.L. Fermeiro
fermeiro@ubi.pt
;
J.A.N. Pombo
d1232@ubi.pt
;
M.R.A. Calado
rc@ubi.pt
;
S.J.P.S. Mariano
;
sm@ubi.pt
关键词:
DC-DC converter
;
Voltage.mode control
;
Particle
swarm
optimization controller
刊名:Applied Soft Computing
出版年:2017
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