Kiln Landscape Evolution Simulation Based on Particle Swarm Optimization and Cellular Automata Model

International Journal of Smart Home ◽

10.14257/ijsh.2015.9.1.15 ◽

2015 ◽

Vol 9 (1) ◽

pp. 141-150 ◽

Author(s):

Tao Liu ◽

Xuan Xiao ◽

Donglan Ying

Keyword(s):

Particle Swarm Optimization ◽

Cellular Automata ◽

Landscape Evolution ◽

Particle Swarm ◽

Swarm Optimization ◽

Cellular Automata Model ◽

Evolution Simulation ◽

Simulation Based

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Ancient Kiln Landscape Evolution Based on Particle Swarm Optimization and Cellular Automata Model

10.14257/astl.2014.53.46 ◽

2014 ◽

Author(s):

Tao Liu ◽

Xuan Xiao ◽

Donglan Ying

Keyword(s):

Particle Swarm Optimization ◽

Cellular Automata ◽

Landscape Evolution ◽

Particle Swarm ◽

Swarm Optimization ◽

Cellular Automata Model

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Reactive power compensation simulation based on stochastic simulation of particle swarm optimization

Proceedings of 2011 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference ◽

10.1109/csqrwc.2011.6037253 ◽

2011 ◽

Author(s):

Ming Huang

Keyword(s):

Particle Swarm Optimization ◽

Stochastic Simulation ◽

Reactive Power ◽

Particle Swarm ◽

Reactive Power Compensation ◽

Swarm Optimization ◽

Simulation Based

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The Effect of Sample and Particle Sizes in Discrete Particle Swarm Optimization for Simulation-based Optimization Problems

Journal of Society of Korea Industrial and Systems Engineering ◽

10.11627/jkise.2017.40.1.095 ◽

2017 ◽

Vol 40 (1) ◽

pp. 95-104

Author(s):

Dong-Soon Yim

Keyword(s):

Particle Swarm Optimization ◽

Optimization Problems ◽

Particle Swarm ◽

Particle Sizes ◽

Discrete Particle Swarm Optimization ◽

Swarm Optimization ◽

Discrete Particle ◽

Simulation Based ◽

Simulation Based Optimization

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An improved artificial neural network based on human-behaviour particle swarm optimization and cellular automata

Expert Systems with Applications ◽

10.1016/j.eswa.2019.112862 ◽

2020 ◽

Vol 140 ◽

pp. 112862 ◽

Author(s):

Yue Wang ◽

Hao Liu ◽

ZhongXin Yu ◽

LiangPing Tu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm Optimization ◽

Cellular Automata ◽

Particle Swarm ◽

Human Behaviour ◽

Swarm Optimization ◽

Artificial Neural

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Application of simulation-based CYP26 SNP-environment barcodes for evaluating the occurrence of oral malignant disorders by odds ratio-based binary particle swarm optimization: A case-control study in the Taiwanese population

PLoS ONE ◽

10.1371/journal.pone.0220719 ◽

2019 ◽

Vol 14 (8) ◽

pp. e0220719 ◽

Author(s):

Ping-Ho Chen ◽

Li-Yeh Chuang ◽

Kuo-Chuan Wu ◽

Yan-Hsiung Wang ◽

Tien-Yu Shieh ◽

...

Keyword(s):

Particle Swarm Optimization ◽

Case Control Study ◽

Particle Swarm ◽

Case Control ◽

Binary Particle Swarm Optimization ◽

Taiwanese Population ◽

Swarm Optimization ◽

Simulation Based ◽

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Evolving Order and Chaos: Comparing Particle Swarm Optimization and Genetic Algorithms for Global Coordination of Cellular Automata

2020 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec48606.2020.9185828 ◽

2020 ◽

Author(s):

Anthony D. Rhodes

Keyword(s):

Genetic Algorithms ◽

Particle Swarm Optimization ◽

Cellular Automata ◽

Particle Swarm ◽

Swarm Optimization ◽

Global Coordination

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Ballistic Missile Defense System Deployment Simulation Based on Particle Swarm optimization*

2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC) ◽

10.1109/gncc42960.2018.9019206 ◽

2018 ◽

Author(s):

Guo Guangyan ◽

Lv Yongshen ◽

Yang Xuerong ◽

Dong Xurong

Keyword(s):

Particle Swarm Optimization ◽

Particle Swarm ◽

Ballistic Missile ◽

Defense System ◽

Missile Defense ◽

Swarm Optimization ◽

Simulation Based ◽

Ballistic Missile Defense

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Simulation-based calibration of geotechnical parameters using parallel hybrid moving boundary particle swarm optimization

Computers and Geotechnics ◽

10.1016/j.compgeo.2008.09.005 ◽

2009 ◽

Vol 36 (4) ◽

pp. 604-615 ◽

Author(s):

Y. Zhang ◽

D. Gallipoli ◽

C.E. Augarde

Keyword(s):

Particle Swarm Optimization ◽

Moving Boundary ◽

Particle Swarm ◽

Swarm Optimization ◽

Geotechnical Parameters ◽

Simulation Based ◽

Parallel Hybrid

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The Simulation and Improvement of Particle Swarm Optimization Based on Cellular Automata

Procedia Engineering ◽

10.1016/j.proeng.2012.01.097 ◽

2012 ◽

Vol 29 ◽

pp. 1113-1118 ◽

Author(s):

Yu Fengxia ◽

Li Gang

Keyword(s):

Particle Swarm Optimization ◽

Cellular Automata ◽

Particle Swarm ◽

Swarm Optimization

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DNA sequence reconstruction based on innovated hybridization technique of probabilistic cellular automata and particle swarm optimization

Information Sciences ◽

10.1016/j.ins.2020.08.102 ◽

2021 ◽

Vol 547 ◽

pp. 828-840 ◽

Author(s):

Wesam M. Elsayed ◽

Mohammed Elmogy ◽

B.S. El-Desouky

Keyword(s):

Particle Swarm Optimization ◽

Cellular Automata ◽

Dna Sequence ◽

Particle Swarm ◽

Hybridization Technique ◽

Probabilistic Cellular Automata ◽

Swarm Optimization ◽

Sequence Reconstruction

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