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Journal Article 15

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particle swarm optimization (PSO) 3

Particle Swarm Optimization (PSO) 2

economic dispatch (ED) 2

efficiency coefficient of coordination 2

multiple optimization coordination model 2

numeric example 2

project management 2

Air-breathing hypersonic vehicles (AHVs) 1

Artificial neural network 1

Chemical oxygen demand 1

Cooperative collision avoidance system (CCAS) 1

Fuel economy 1

Improved hybrid PSO algorithm 1

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Linear-quadratic regulator (LQR) 1

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Solution to economic dispatch problem with valve-point loading effect by using catfish PSO algorithm

K. MURALI,T. JAYABARATHI

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 290-296 doi: 10.1007/s11708-014-0305-y

Abstract: This paper proposes application of a catfish particle swarm optimization (PSO) algorithm to economicThe conventional PSO and catfish PSO algorithms are applied to three different test systems and the solutionsThe comparison of solutions shows that catfish PSO outperforms the conventional PSO and other methods

Keywords: economic dispatch (ED)     valve point loading     catfish particle swarm optimization (PSO)     optimization    

Power system reconfiguration and loss minimization for a distribution systems using “Catfish PSO” algorithm

K Sathish KUMAR,S NAVEEN

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 434-442 doi: 10.1007/s11708-014-0313-y

Abstract: One of the very important ways to save electrical energy in the distribution system is network reconfiguration for loss reduction. Distribution networks are built as interconnected mesh networks; however, they are arranged to be radial in operation. The distribution feeder reconfiguration is to find a radial operating structure that optimizes network performance while satisfying operating constraints. The change in network configuration is performed by opening sectionalizing (normally closed) and closing tie (normally opened) switches of the network. These switches are changed in such a way that the radial structure of networks is maintained, all of the loads are energized, power loss is reduced, power quality is enhanced, and system security is increased. Distribution feeder reconfiguration is a complex nonlinear combinatorial problem since the status of the switches is non-differentiable. This paper proposes a new evolutionary algorithm (EA) for solving the distribution feeder reconfiguration (DFR) problem for a 33-bus and a 16-bus sample network, which effectively ensures the loss minimization.

Keywords: distribution system reconfiguration (DFR)     power loss reduction     catfish particle swarm optimization (catfish PSO    

A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects

T. Jayabarathi, Prateek Bahl, Harsha Ohri, Afshin Yazdani, V. Ramesh

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 155-163 doi: 10.1007/s11708-012-0189-7

Abstract: problems with valve-point effects, by integrating the biased velocity of particle swarm optimization (PSO

Keywords: bacterial foraging algorithm (BFA)     economic dispatch (ED)     particle swarm optimization (PSO)     valve-point    

Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1698-9

Abstract:

● Data acquisition and pre-processing for wastewater treatment were summarized.

Keywords: Chemical oxygen demand     Mining-beneficiation wastewater treatment     Particle swarm optimization     Support vector regression     Artificial neural network    

Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on stochastic robustness analysis Article

Lin CAO, Shuo TANG, Dong ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 882-897 doi: 10.1631/FITEE.1601363

Abstract: The flight dynamics model of air-breathing hypersonic vehicles (AHVs) is highly nonlinear and multivariable cou-pling, and includes inertial uncertainties and external disturbances that require strong, robust, and high-accuracy controllers. In this paper, we propose a linear-quadratic regulator (LQR) design method based on stochastic robustness analysis for the longitudinal dynamics of AHVs. First, input/output feedback linearization is used to design LQRs. Second, subject to various system parameter uncertainties, system robustness is characterized by the probability of stability and desired performance. Then, the mapping rela-tionship between system robustness and LQR parameters is established. Particularly, to maximize system robustness, a novel hybrid particle swarm optimization algorithm is proposed to search for the optimal LQR parameters. During the search iteration, a Chernoff bound algorithm is applied to determine the finite sample size of Monte Carlo evaluation with the given probability levels. Finally, simulation results show that the optimization algorithm can effectively find the optimal solution to the LQR parameters.

Keywords: AHVs)     Stochastic robustness analysis     Linear-quadratic regulator (LQR)     Particle swarm optimization (PSO)     Improved hybrid PSO algorithm    

Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 45-50

Abstract:

The vibration of powerhouse structures is mainly induced by hydraulics factors, mechanical and electromagnetic factors of the generating unit. It nonlinearly couples with the generating unit. Based on prototype observation data of Ertan Hydropower Station, the paper analyzes the coupling effect between vibration of units and powerhouse,and then the vibration response forecasting model of the powerhouse is built based on LS-SVM optimized by particle swarm optimization algorithm, and the prediction results are coincide with the observed data. Further, the paper introduces the running water head as an input divisor into the intelligent prediction model while the forecasting range is extended, and the result is satisfactory.

Keywords: powerhouse     coupled vibration     particle swarm optimization algorithm     least squares support vector machines     response prediction    

Retraction Note to: Dynamic stability enhancement of interconnected multi-source power systems using hierarchical ANFIS controller-TCSC based on multi-objective PSOs Retraction Note

Ali Darvish FALEHI, Ali MOSALLANEJAD

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5, doi: 10.1631/FITEE.19r0001

Abstract: None

Keywords: None    

Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

Sadegh ETEDALI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1372-1386 doi: 10.1007/s11709-020-0671-y

Abstract: A free search of the TMD parameters is performed using a particle swarm optimization (PSO) algorithm

Keywords: seismic-excited building     TMD     optimum design     PSO     design scenario     TOPSIS    

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 optimizationAdditionally, the constriction factor is included with the conventional PSO technique to accelerate the

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

Using PSO to update pheromone for the traveling salesman problem

Cheng Weiming,Tang Zhenmin,Zhao Chunxia,Chen Debao

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 165-168

Abstract: That is using particle swarm optimization ( PSO) .PSO is used because of its simple operation, easy implementation and faster speed.

Keywords: pheromone     particle swarm algorithm     TSP    

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

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 optimizationdistribution algorithm (EDA) using historic best positions to construct a sample space is hybridized with PSO

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

Application prospect of PSO in hydrology

Dong Qianjin,Cao Guangjing,Wang Xianjia,Dai Huichao,Zhao Yunfa

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 81-85

Abstract: is pointed out that should strengthen the study of adaptive mechanism and convergence performance in PSO

Keywords: hydrology science     particle swarm optimization     scheduling operation     economical operation    

Study on the project multiple-objectives coordination

Liu Xiaofeng,Chen Tong, Wu Shaoyan

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 90-94

Abstract:

The Particle Swarm Optimization (PSO) is an evolutionary computation,Hence, the article focuses on the application of PSO to the multiple-objective coordination optimizationIn the following part, the article introduces how to apply PSO to solve the project coordination optimizationThe numeric example followed indicates that PSO can solve the multiple-objectives coordination optimization

Keywords: Particle Swarm Optimization (PSO)     project management     efficiency coefficient of coordination     multiple    

Near range millimeter wave synthetic aperture radiometer passive range measurement

Wang Benqing,Li Xingguo

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 95-99

Abstract:

The Particle Swarm Optimization (PSO) is an evolutionary computation,Hence, the article focuses on the application of PSO to the multiple-objective coordination optimizationIn the following part, the article introduces how to apply PSO to solve the project coordination optimizationThe numeric example followed indicates that PSO can solve the multiple-objectives coordination optimization

Keywords: Particle Swarm Optimization (PSO)     project management     efficiency coefficient of coordination     multiple    

Using improved particle swarm optimization totune PID controllers in cooperative collision avoidance systems Article

Xing-chen WU, Gui-he QIN, Ming-hui SUN, He YU, Qian-yi XU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1385-1395 doi: 10.1631/FITEE.1601427

Abstract: paper, we propose a method to optimize PID controllers usingan improved particle swarm optimization (PSO

Keywords: Cooperative collision avoidance system (CCAS)     Improved particle swarm optimization (PSO)     PID controller    

Title Author Date Type Operation

Solution to economic dispatch problem with valve-point loading effect by using catfish PSO algorithm

K. MURALI,T. JAYABARATHI

Journal Article

Power system reconfiguration and loss minimization for a distribution systems using “Catfish PSO” algorithm

K Sathish KUMAR,S NAVEEN

Journal Article

A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects

T. Jayabarathi, Prateek Bahl, Harsha Ohri, Afshin Yazdani, V. Ramesh

Journal Article

Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

Journal Article

Flight control for air-breathing hypersonic vehicles using linear quadratic regulator design based on stochastic robustness analysis

Lin CAO, Shuo TANG, Dong ZHANG

Journal Article

Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Journal Article

Retraction Note to: Dynamic stability enhancement of interconnected multi-source power systems using hierarchical ANFIS controller-TCSC based on multi-objective PSOs

Ali Darvish FALEHI, Ali MOSALLANEJAD

Journal Article

Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

Sadegh ETEDALI

Journal Article

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

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

Journal Article

Using PSO to update pheromone for the traveling salesman problem

Cheng Weiming,Tang Zhenmin,Zhao Chunxia,Chen Debao

Journal Article

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

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

Application prospect of PSO in hydrology

Dong Qianjin,Cao Guangjing,Wang Xianjia,Dai Huichao,Zhao Yunfa

Journal Article

Study on the project multiple-objectives coordination

Liu Xiaofeng,Chen Tong, Wu Shaoyan

Journal Article

Near range millimeter wave synthetic aperture radiometer passive range measurement

Wang Benqing,Li Xingguo

Journal Article

Using improved particle swarm optimization totune PID controllers in cooperative collision avoidance systems

Xing-chen WU, Gui-he QIN, Ming-hui SUN, He YU, Qian-yi XU

Journal Article