Search scope:
排序: Display mode:
Particle swarm optimization model to predict scour depth around a bridge pier
Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4, Pages 855-866 doi: 10.1007/s11709-020-0619-2
Keywords: scour depth bridge design and construction particle swarm optimization computational mechanics artificialintelligence bridge pier
Survey on Particle Swarm Optimization Algorithm
Yang Wei,Li Chiqiang
Strategic Study of CAE 2004, Volume 6, Issue 5, Pages 87-94
Particle swarm optimization (PSO) is a new optimization technique originating from artificial lifethrough following the personal best solution of each particle and the global best value of the whole swarm
Keywords: swarm intelligence evolutionary algorithm particle swarm optimization
Dolphin swarm algorithm Article
Tian-qi WU,Min YAO,Jian-hua YANG
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8, Pages 717-729 doi: 10.1631/FITEE.1500287
Keywords: Swarm intelligence Bio-inspired algorithm Dolphin Optimization
A swarm intelligence design based on a workshop of meta-synthetic engineering Article
Bo-hu LI,Hui-yang QU,Ting-yu LIN,Bao-cun HOU,Xiang ZHAI,Guo-qiang SHI,Jun-hua ZHOU,Chao RUAN
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1, Pages 149-152 doi: 10.1631/FITEE.1700002
Keywords: Meta-synthetic engineering Swarm intelligence Design resources delivery
A survey of the pursuit–evasion problem in swarm intelligence Review
Zhenxin MU, Jie PAN, Ziye ZHOU, Junzhi YU, Lu CAO,junzhi.yu@ia.ac.cn,yujunzhi@pku.edu.cn,caolu_space2015@163.com
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8, Pages 1093-1116 doi: 10.1631/FITEE.2200590
Keywords: Swarm behavior Pursuit– evasion Artificial systems Biological model Collective motion
Quantum coding genetic algorithm based on frog leaping
Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende
Strategic Study of CAE 2014, Volume 16, Issue 3, Pages 108-112
The determinations of the rotation phase of quantum gates and mutation probability are the two main issues that restrict the efficiency of quantum genetic algorithm. This paper presents a quantum real coding genetic algorithm(QRGA). QRGA used an adaptive means to adjust the direction and the size of the rotation angle of quantum rotation gate. In order to ensure the direction of evolution and population diversity,the mutation probability is guided based on the step of frog leaping algorithm which quantified by fuzzy logic. Comparative experimental results show that the algorithm can avoid falling into part optimal solution and astringe to the global optimum solution quickly,which has achieved good results in the running time and performance of the solution.
Keywords: quantum encoding quantum genetic algorithm frog leaping algorithm swarm intelligence
Amin GHANNADIASL; Saeedeh GHAEMIFARD
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9, Pages 1127-1140 doi: 10.1007/s11709-022-0838-9
Keywords: crack cantilever beam triple hybrid algorithms Particle Swarm Optimization
Constriction factor based particle swarm optimization for analyzing tuned reactive power dispatch
Syamasree BISWAS(RAHA), Kamal Krishna MANDAL, Niladri CHAKRABORTY
Frontiers in Energy 2013, Volume 7, Issue 2, Pages 174-181 doi: 10.1007/s11708-013-0246-x
Keywords: real power loss minimization voltage stability constriction factor particle swarm optimization (PSO)
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1, Pages 3-3 doi: 10.1007/s11465-021-0659-x
Keywords: image guidance prostate percutaneous intervention parallel robot kinematics identification particle swarm
Xiao-qing ZHANG, Zheng-feng MING
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1705-1719 doi: 10.1631/FITEE.1601555
Keywords: Swarm intelligence Grey wolf optimizer Optimization Radial basis function network
Xuewei QI,Ke LI,Walter D. POTTER
Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2, Pages 341-351 doi: 10.1007/s11783-015-0776-z
Keywords: particle swarm optimization (PSO) diversity control estimation of distribution algorithm (EDA) water
MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization Research Article
Kai MENG, Chen CHEN, Bin XIN
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1828-1847 doi: 10.1631/FITEE.2200237
Keywords: Swarm intelligence Sparrow search algorithm Adaptive parameter control strategy Hybrid disturbance
Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 274-287 doi: 10.1007/s11705-021-2043-0
Keywords: smart chemical process operations data generation hybrid method machine learning particle swarm optimization
Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm
Gao Shang,Yang Jingyu
Strategic Study of CAE 2006, Volume 8, Issue 11, Pages 94-98
The classical particle swarm optimization is a powerful method to find the minimum of a numericalThe particle swarm optimization algorithm combining with the idea of the genetic algorithm is recommendedAll the 6 hybrid particle swarm optimization algorithms are proved effective.Especially the hybrid particle swarm optimization algorithm derived from across strategy A and mutation
Keywords: particle swarm algorithm knapsack problem genetic algorithm mutation
INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS
Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4, Pages 648-653 doi: 10.15302/J-FASE-2023505
Keywords: artificial intelligence extension system non-point source pollution control smallholders fertilization
Title Author Date Type Operation
Particle swarm optimization model to predict scour depth around a bridge pier
Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK
Journal Article
A swarm intelligence design based on a workshop of meta-synthetic engineering
Bo-hu LI,Hui-yang QU,Ting-yu LIN,Bao-cun HOU,Xiang ZHAI,Guo-qiang SHI,Jun-hua ZHOU,Chao RUAN
Journal Article
A survey of the pursuit–evasion problem in swarm intelligence
Zhenxin MU, Jie PAN, Ziye ZHOU, Junzhi YU, Lu CAO,junzhi.yu@ia.ac.cn,yujunzhi@pku.edu.cn,caolu_space2015@163.com
Journal Article
Quantum coding genetic algorithm based on frog leaping
Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende
Journal Article
Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization
Amin GHANNADIASL; Saeedeh GHAEMIFARD
Journal Article
Constriction factor based particle swarm optimization for analyzing tuned reactive power dispatch
Syamasree BISWAS(RAHA), Kamal Krishna MANDAL, Niladri CHAKRABORTY
Journal Article
Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle swarm
Journal Article
An optimized grey wolf optimizer based on a mutation operator and eliminating-reconstructing mechanism and its application
Xiao-qing ZHANG, Zheng-feng MING
Journal Article
Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network
Xuewei QI,Ke LI,Walter D. POTTER
Journal Article
MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization
Kai MENG, Chen CHEN, Bin XIN
Journal Article
Hybrid method integrating machine learning and particle swarm optimization for smart chemical process
Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan
Journal Article
Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm
Gao Shang,Yang Jingyu
Journal Article