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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 radiationFrom the simulation results it is evident that CSO is able to yield the optimal design of linear antenna

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

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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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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 reactive power dispatch (RPD) problem is a very critical optimization problem of power system whichThe particle swarm optimization (PSO) technique is a swarm intelligence based fast working optimizationmethod which is chosen in this paper as an optimization tool.included with the conventional PSO technique to accelerate the convergence property of the applied optimizationFurthermore, the result of the present paper is compared with a few optimization technique based results

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

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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 lifeThe algorithm completes the optimization through following the personal best solution of each particleand the global best value of the whole swarm.

Keywords： swarm intelligence     evolutionary algorithm     particle swarm optimization    

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

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 swarmoptimization     informative value    

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

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: The optimization of a water distribution network (WDN) is a highly nonlinear, multi-modal, and constrainedParticle 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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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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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: Modeling and optimization is crucial to smart chemical process operations.Thus, this paper presents an efficient hybrid framework of integrating machine learning and particle swarmoptimization to overcome the aforementioned difficulties.Finally, 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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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: At present, there are many well-implemented algorithms, such as particle swarm optimization, geneticalgorithm, artificial bee colony algorithm, and ant colony optimization.into optimization problems, we propose a brand new algorithm named the ‘dolphin swarm algorithm’ inswarm optimization, genetic algorithm, and artificial bee colony algorithm.Moreover, the dolphin swarm algorithm is particularly appropriate to optimization problems, with more

Keywords： Swarm intelligence     Bio-inspired algorithm     Dolphin     Optimization    

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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: an improved loss function-based artificial neural network (ILF-ANN) combined with quantum particle swarmoptimization (QPSO) is proposed herein.

Keywords： tunnel boring machine     control parameter optimization     quantum particle swarm optimization     artificial    

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A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for Research Article

Han YAN, Chongquan ZHONG, Yuhu WU, Liyong ZHANG, Wei LU

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1557-1573 doi: 10.1631/FITEE.2200515

Abstract: To overcome these problems and challenges, a hybrid-model optimization algorithm is proposed in this

Keywords： Convolutional neural network     Gaussian process     Hybrid model     Hyperparameter optimization     Mixed-variable     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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Optimization of remanufacturing process routes oriented toward eco-efficiency

Hong PENG, Han WANG, Daojia CHEN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 422-433 doi: 10.1007/s11465-019-0552-z

Abstract: Remanufacturing route optimization is crucial in remanufacturing production because it exerts a considerableTherefore, an optimization model for remanufacturing process routes oriented toward eco-efficiency isAfterward, an eco-efficiency objective function model is established, and simulated annealing (SA) particle swarmoptimization (PSO) is applied to select the manufacturing process route with the best eco-efficiencyThe proposed model is then applied to the remanufacturing of a used helical cylindrical gear, and optimization

Keywords： remanufacturing     process route optimization     eco-efficiency     simulated particle swarm optimization algorithm    

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High-affinity T cell receptors redirect cytokine-activated T cells (CAT) to kill cancer cells

Synat Kang, Yanyan Li, Yifeng Bao, Yi Li

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 69-82 doi: 10.1007/s11684-018-0677-1

Abstract: The low-efficacy problem can be resolved using T cell antigen receptor-engineered CAT (TCR-CAT).TCR-CAT may be a very good alternative to the expensive TCR-T, which is considered an effective personalized

Keywords： cytokine-activated T cells     high-affinity T cell receptor     cancer immunotherapy     TCR-CAT    

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The design and construction of cat walk system for Taizhou Bridge

Zhou Chang,Du Hongchi

Strategic Study of CAE 2010, Volume 12, Issue 4,   Pages 63-67

Abstract: The design and construction of cat walk system is critical to the installation of the superstructuresThe design of cat walk system of Taizhou Bridge chosen the continuous four-span structure without anti-windThis paper describes details and construction sequences of the overall design of the cat walk system

Keywords： suspension bridge     cat walk system     construction    

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Title Author Date Type Operation

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

Particle swarm optimization model to predict scour depth around a bridge pier

Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK

Journal Article

Constriction factor based particle swarm optimization for analyzing tuned reactive power dispatch

Syamasree BISWAS(RAHA), Kamal Krishna MANDAL, Niladri CHAKRABORTY

Journal Article

Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Journal Article

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

Journal Article

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

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

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

Amin GHANNADIASL; Saeedeh GHAEMIFARD

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

Dolphin swarm algorithm

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

Journal Article

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article

A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for

Han YAN, Chongquan ZHONG, Yuhu WU, Liyong ZHANG, Wei LU

Journal Article

Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Journal Article

Optimization of remanufacturing process routes oriented toward eco-efficiency

Hong PENG, Han WANG, Daojia CHEN

Journal Article

High-affinity T cell receptors redirect cytokine-activated T cells (CAT) to kill cancer cells

Synat Kang, Yanyan Li, Yifeng Bao, Yi Li

Journal Article

The design and construction of cat walk system for Taizhou Bridge

Zhou Chang,Du Hongchi

Journal Article