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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 optimizationAn improved estimation of distribution algorithm (EDA) using historic best positions to construct a sample

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

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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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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 mutationstrategy C is a simple yet effective algorithm and it has been applied successfully to investment problem

Keywords： particle swarm algorithm     knapsack problem     genetic algorithm     mutation    

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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 metaheuristicMoreover, the ratio of pier width to flow depth and ratio of 50 (mean particle diameter) to flow depth

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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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particleswarm optimization

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： ultrasound image guidance     prostate percutaneous intervention     parallel robot     kinematics identification     particleswarm optimization     informative value    

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Multi-objective particle swarm cooperative optimization algorithm for state parameters

Ding Lei,Wu Min,She Jinhua,Duan Ping

Strategic Study of CAE 2010, Volume 12, Issue 2,   Pages 101-107

Abstract: permeability and burn-through point in the lead-zinc sintering process, an efficient multi-objective particleswarm cooperative optimization algorithm is proposed.Secondly, an improved multi-objective particle swarm cooperative optimization algorithm is presentedFinally, the proposed multi-objective optimization algorithm is applied to optimize the synthetic permeabilityThe simulation results show that the proposed multi-objective optimization algorithm effectively solves

Keywords： lead-zinc sintering process     synthetic permeability     burn-through point     multi-objective particle swarmcooperative optimization algorithm    

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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: deals with the inverse analysis of the crack detection problems using triple hybrid algorithms based on ParticleSwarm Optimization (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).Hence, the measured natural frequency can be used as the input parameter of the algorithm.

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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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) particleswarm optimization (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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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 thispaper to search suitable hyperparameter configurations automatically based on the and (GPPSO) algorithmMoreover, a case study on metal fracture diagnosis is carried out to evaluate the GPPSO algorithm performance

Keywords： Convolutional neural network     Gaussian process     Hybrid model     Hyperparameter optimization     Mixed-variable     Particle swarm optimization    

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Data-driven approach to solve vertical drain under time-dependent loading

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 696-711 doi: 10.1007/s11709-021-0727-7

Abstract: Thus, in this study, a new hybrid model based on deep neural networks (DNNs), particle swarm optimization

Keywords： vertical drain     artificial neural network     time-dependent loading     deep learning network     genetic algorithm     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 particleswarm optimization 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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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: the economic dispatch (ED) problems with valve-point effects, by integrating the biased velocity of particleswarm optimization (PSO) to the chemotaxis, swarming and reproduction steps of bacterial foraging algorithmIn order to solve such problems the best cell (or particle) biased velocity (vector) is added to theThis results in the hybrid bacterial foraging algorithm (HBFA).

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

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A scheduling method based on a hybrid genetic particle swarm algorithm for multifunction phased array Article

Hao-wei ZHANG, Jun-wei XIE, Wen-long LU, Chuan SHENG, Bin-feng ZONG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1806-1816 doi: 10.1631/FITEE.1601358

Abstract: A hybrid optimization approach combining a particle swarm algorithm, a genetic algorithm, and a heuristicBy optimizing parameters using chaos theory, designing the dynamic inertia weight for the particle swarmalgorithm as well as introducing crossover operation and mutation operation of the genetic algorithm, both the efficiency and exploration ability of the hybrid algorithm are improved.Under the frame of the intelligence algorithm, the heuristic interleaving scheduling algorithm is presented

Keywords： Phased array radar     Scheduling     Particle swarm algorithm     Genetic algorithm     Pulse interleave    

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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: parameters using an improved loss function-based artificial neural network (ILF-ANN) combined with quantum particleswarm optimization (QPSO) is proposed herein.

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

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Title Author Date Type Operation

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

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Journal Article

Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

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

Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particleswarm optimization

Journal Article

Multi-objective particle swarm cooperative optimization algorithm for state parameters

Ding Lei,Wu Min,She Jinhua,Duan Ping

Journal Article

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

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

Optimization of remanufacturing process routes oriented toward eco-efficiency

Hong PENG, Han WANG, Daojia CHEN

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

Data-driven approach to solve vertical drain under time-dependent loading

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

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

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

Journal Article

A scheduling method based on a hybrid genetic particle swarm algorithm for multifunction phased array

Hao-wei ZHANG, Jun-wei XIE, Wen-long LU, Chuan SHENG, Bin-feng ZONG

Journal Article

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

Journal Article