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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

Abstract: Therefore, this paper aims to develop new equations using particle swarm optimization as a metaheuristic

Keywords： scour depth     bridge design and construction     particle swarm optimization     computational mechanics     artificial    

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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

Abstract: We summarize predator pursuit behavior and prey behavior as predator–prey behavior.

Keywords： Swarm behavior     Pursuit–     evasion     Artificial systems     Biological model     Collective motion    

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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

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

Abstract: the inverse analysis of the crack detection problems using triple hybrid algorithms based on Particle SwarmOptimization (PSO); these hybrids are Particle Swarm Optimization-Genetic Algorithm-Firefly Algorithm(PSO-GA-FA), Particle Swarm Optimization-Grey Wolf Optimization-Firefly Algorithm (PSO-GWO-FA), andParticle Swarm Optimization-Genetic Algorithm-Grey Wolf Optimization (PSO-GA-GWO).

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 87-94

Abstract:

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    

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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

Abstract: The particle swarm optimization (PSO) technique is a swarm intelligence based fast working optimization

Keywords： real power loss minimization     voltage stability     constriction factor     particle swarm optimization (PSO)    

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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle swarm

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 3-3 doi: 10.1007/s11465-021-0659-x

Abstract: The particle swarm optimization method based on informative value is proposed for kinematic parameter

Keywords： image guidance     prostate percutaneous intervention     parallel robot     kinematics identification     particle swarm    

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Estimation of distribution algorithm enhanced particle swarm optimization for water distribution 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

Abstract: Particle swarm optimization (PSO) has been shown to be a fast converging algorithm for WDN optimization

Keywords： particle swarm optimization (PSO)     diversity control     estimation of distribution algorithm (EDA)     water    

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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

Abstract: By adopting the distributed problem-solving strategy, swarm intelligence algorithms have been successfullyAt present, there are many well-implemented algorithms, such as particle swarm optimization, geneticinto optimization problems, we propose a brand new algorithm named the ‘dolphin swarm algorithm’ inswarm optimization, genetic algorithm, and artificial bee colony algorithm.The results show that in most cases, the dolphin swarm algorithm performs better.

Keywords： Swarm intelligence     Bio-inspired algorithm     Dolphin     Optimization    

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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

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 274-287 doi: 10.1007/s11705-021-2043-0

Abstract: Thus, this paper presents an efficient hybrid framework of integrating machine learning and particle swarmFinally, optimal process operations were obtained by using the particle swarm optimization approach.

Keywords： smart chemical process operations     data generation     hybrid method     machine learning     particle swarm optimization    

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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

Abstract:

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    

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Optimal array factor radiation pattern synthesis for linear antenna array using cat swarm optimization Article

Gopi RAM, Durbadal MANDAL, Sakti Prasad GHOSHAL, Rajib KAR

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 570-577 doi: 10.1631/FITEE.1500371

Abstract: Cat swarm optimization (CSO) has been applied for the optimization of the control parameters of radiation

Keywords： Patch antenna     Linear antenna array     Cat swarm optimization (CSO)     Side lobe level (SLL)    

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Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Frontiers of Engineering Management 2015, Volume 2, Issue 2,   Pages 131-136 doi: 10.15302/J-FEM-2015037

Abstract: , construction accidents frequently happen, which are significantly attributable to workers’ unsafe behaviorBehavior-based safety (BBS) is an effective method to modify workers’ unsafe behavior.This paper introduces the study on big data-based metro construction behavior modification, aiming toFirst, the behavior modification pushing mechanism based on content-based personalized recommendationSecondly, the development of behavior modification system of metro construction (BMSMC) is introduced

Keywords： big data     unsafe behavior     behavior modification     behavior-based safety (BBS)     unsafe behavior rate    

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Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 315-321 doi: 10.1007/s11708-014-0331-9

Abstract: Ellipsoidal particles flowing in the hopper were simulated by using the discrete element method (DEM), and described by the multi-element method. The contact detection algorithm and equations for ellipsoidal particle motion in hopper were developed. And the simulation results were confirmed by experiment. Additionally, the mass flow rate, pressure distribution and velocity distribution of two kinds of particles were examined. The results show that the mass flow rate of ellipsoidal particles is smaller than that of spherical particles. There is a maximum value of pressure drop at the top of the junction. Besides, the pressure drop decreases with the discharging time increasing. The velocity of spherical particle is larger than that of ellipsoidal.

Keywords： discrete element method     ellipsoidal particle     flow behavior     hopper    

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A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Frontiers of Structural and Civil Engineering   Pages 1021-1032 doi: 10.1007/s11709-023-0952-3

Abstract: soil deformation mechanism and Poulos’ solution for pile–soil interaction to investigate the bending behaviorFurthermore, the effect of embedding a pile into a firm ground layer on the bending behavior was investigated

Keywords： bending behavior     pile     embankment     soil−structure interaction     failure mode    

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Weakening behavior of waterproof performance in joints of shield tunnels under adjacent constructions

Frontiers of Structural and Civil Engineering   Pages 884-900 doi: 10.1007/s11709-022-0912-3

Abstract: In this study, the weakening behavior of waterproof performance was investigated in the joints of shield

Keywords： shield tunnel     waterproof performance     horizontal transverse deformation     joint opening     weakening behavior    

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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 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

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

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

Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

Dolphin swarm algorithm

Tian-qi WU,Min YAO,Jian-hua YANG

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

Optimal array factor radiation pattern synthesis for linear antenna array using cat swarm optimization

Gopi RAM, Durbadal MANDAL, Sakti Prasad GHOSHAL, Rajib KAR

Journal Article

Study on Big Data-based Behavior Modification in Metro Construction

Lie-yun Ding,Sheng-yu Guo

Journal Article

Flow behavior of non-spherical particle flowing in hopper

He TAO,Wenqi ZHONG,Baosheng JIN

Journal Article

A simplified method for investigating the bending behavior of piles supporting embankments on soft ground

Journal Article

Weakening behavior of waterproof performance in joints of shield tunnels under adjacent constructions

Journal Article