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181
Assessment of Waterlogging Risk in the Deep Foundation Pit Projects Based on Projection Pursuit Model
Published 2020-01-01“…This study puts forward a method for the waterlogging risk assessment of deep foundation pit projects via the combination of a projection pursuit model, particle swarm optimization, and an interpolation algorithm. …”
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182
Design and Application of a Financial Distress Early Warning Model Based on Data Reasoning and Pattern Recognition
Published 2022-01-01“…Finally, a particle swarm optimization BP neural network financial early warning model is established for the shortcomings of the BP network. …”
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183
Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network
Published 2019-01-01“…In this study, a quantum particle swarm optimization-neural network (QPSO-NN) model was built up to predict the corrosion current density in the process of stray current corrosion. …”
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184
Two-Phase Model of Multistep Forecasting of Traffic State Reliability
Published 2018-01-01“…Then a two-phase model is established based on wavelet neural network optimized by particle swarm optimization. The upper phase is a model to estimate the number of predictable steps, and the lower phase is the multistep prediction model of reliability. …”
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185
Forecasting Crude Oil Consumption in China Using a Grey Prediction Model with an Optimal Fractional-Order Accumulating Operator
Published 2018-01-01“…According to the particle swarm optimization (PSO) mechanism and the properties of the gamma function of the fractional-order cumulative generation operator, the optimal fractional-order particle swarm optimization algorithm of the FSIGM model is obtained. …”
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186
Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM
Published 2025-01-01“…For the problem of evaluating the effectiveness of cooperative jamming to group network radar by formation aircraft, a cooperative jamming effectiveness evaluation method based on Improved Particle Swarm Optimization–Extreme Learning Machine (IPSO-ELM) is proposed. …”
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187
A novel topology optimization of coverage-oriented strategy for wireless sensor networks
Published 2021-04-01“…Among them, compared with the particle swarm optimization algorithm and artificial fish swarm algorithm, the remaining energy of nodes has increased by 9.5% and 15.5% and the average coverage of the network has increased by 10.5% and 5.6%, respectively.…”
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188
Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms
Published 2024-06-01“…The meta-heuristic algorithms employed for fine-tuning the ANN's weight and bias parameters include the Genetic Algorithm (GA), Multi-Verse Optimizer (MVO), Moth Flame Optimization (MFO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Advanced Grey Wolf Optimizer (AGWO), Biogeography-Based Optimization (BBO), and Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO). …”
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189
Optimal Dimensional Synthesis of Ackermann Steering Mechanisms for Three-Axle, Six-Wheeled Vehicles
Published 2025-01-01“…The employed optimization methods include Particle Swarm Optimization (PSO), Hybrid Particle Swarm Optimization (HPSO), Differential Evolution with golden ratio (DE-gr), and Linearly Ensemble of Parameters and Mutation Strategies in Differential Evolution (L-EPSDE). …”
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190
Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter
Published 2023-01-01“…The performance of JF is compared against particle swarm optimization (PSO) using various parameters. …”
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191
Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms
Published 2024-06-01“…These include the Angle of Attack Optimization (AOA), Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Moth Flame Optimization (MFO), and Multi-Verse Optimizer (MVO). …”
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192
Study on Intelligent Classing of Public Welfare Forestland in Kunyu City
Published 2025-01-01“…Unlike previous approaches, the SVM model is optimized with Grid Search (GS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) to automatically determine classification parameters, overcoming the limitations of manual rule-based methods. …”
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193
Recursive Neural Networks Based on PSO for Image Parsing
Published 2013-01-01“…This paper presents an image parsing algorithm which is based on Particle Swarm Optimization (PSO) and Recursive Neural Networks (RNNs). …”
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194
Subarrayed Antenna Array Synthesis Using Ternary Adjusting Method
Published 2014-01-01“…Ternary adjusting method is proposed and combined with particle swarm optimization (PSO) algorithm for subarrayed antenna array synthesis. …”
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195
A PSO-Based Hybrid Metaheuristic for Permutation Flowshop Scheduling Problems
Published 2014-01-01“…This paper investigates the permutation flowshop scheduling problem (PFSP) with the objectives of minimizing the makespan and the total flowtime and proposes a hybrid metaheuristic based on the particle swarm optimization (PSO). To enhance the exploration ability of the hybrid metaheuristic, a simulated annealing hybrid with a stochastic variable neighborhood search is incorporated. …”
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196
Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization
Published 2013-01-01“…In this paper, the performance of the SLO is compared with that of the genetic algorithm, particle swarm optimization, and artificial bee colony algorithms by using five numerical benchmark functions with multimodality. …”
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197
Indoor Robot Localization Based on Multidimensional Scaling
Published 2015-08-01“…To address this problem, a minimum residual MDS algorithm based on particle swarm optimization (PSO) is proposed to derive a new solution for indoor robot localization under the unified framework. …”
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198
Gaussian Qualitative Trigonometric Functions in a Fuzzy Circle
Published 2018-01-01“…We have also developed the trigonometric identities based on qualitative representation by defining trigonometric functions qualitatively and applied the concept to fuzzy particle swarm optimization using α-cuts.…”
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199
Prediction of China’s Express Business Volume Based on FGM (1, 1) Model
Published 2021-01-01“…Based on the data of China’s express business volume from 2015 to 2019, this paper uses the improved Particle Swarm Optimization algorithm to calculate the fractional-order r of the FGM (1, 1) model and forecasts China’s express business volume from 2020 to 2023. …”
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200
Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding
Published 2014-01-01“…To solve the problem of hybrid genetic algorithm and particle swarm optimization, the “dummy node” is added into the binary trees to deal with the different lengths of representations. …”
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