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Research on charging strategy based on improved particle swarm optimization PID algorithm
Aiming at the electric vehicle charging pile control system has the characteristics of multi-parameter, strong coupling and non-linearity, and the...
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Bilevel-search particle swarm optimization algorithm for solving LSGO problems
Improving the efficiency of solving complex optimization problems is the focus of intelligent algorithm research in recent years. Complex...
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A novel hybrid pelican-particle swarm optimization algorithm (HPPSO) for global optimization problem
Particle Swarm Optimization (PSO) has drawn attention due to its widespread use in scientific and engineering fields. However, it suffers from a...
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Hybrid particle swarm-differential evolution algorithm and its engineering applications
Differential evolution (DE) has been applied to solve various optimization problems due to its simplicity and high search efficiency. However,...
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Copper Concentrate Blending and Melting Prediction Based on Particle Swarm Optimization Algorithm
The purpose of smelting is to enrich most of the copper in the copper concentrate in the matte phase. The gangue, oxides and impurity elements were...
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Application of particle swarm optimisation algorithm incorporating frog-lea** algorithm in optimal scheduling for production management in manufacturing plant
The goal of management optimization scheduling in manufacturing plants is to improve machining efficiency and reduce costs, which is one of the...
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Novel WSN Coverage Optimization Strategy Via Monarch Butterfly Algorithm and Particle Swarm Optimization
Wireless sensor networks (WSNs) have issues with duplication and comparatively expensive network installation costs. A unique approach to maximizing...
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PSO-ECM: particle swarm optimization-based evidential C-means algorithm
As an extension of Fuzzy C-Means (FCM), Evidence C-Means (ECM) is proposed in the framework of Dempster–Shafer theory (DST) and has been applied to...
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Multi-population particle swarm optimization algorithm for automatic design of steel frames
Steel structures are widely used; however, their traditional design method is a trial-and-error procedure which is neither efficient nor cost...
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Enterprise financial early warning based on improved particle swarm optimization algorithm and data mining
In the Internet era, enterprises are surrounded by massive information, and the information ability of effective organization is becoming more and...
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Trajectory Planning of Rail Inspection Robot Based on an Improved Penalty Function Simulated Annealing Particle Swarm Algorithm
To ensure the smooth operation of each joint and shorten the joint movement time of a rail inspection robot, a trajectory planning method based on...
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Chaotic Particle Swarm Optimization
Particle Swarm Optimization (PSO) is one of the most important algorithms in the field of swarm intelligence. This algorithm is inspired by social...
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Application of a Hybrid Improved Particle Swarm Algorithm for Prediction of Cutting Energy Consumption in CNC Machine Tools
Estimation and analysis of energy consumption for machine tool is the basis of energy efficiency improvement. To improve the accuracy of ELM...
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An improved particle swarm optimization algorithm for task scheduling in cloud computing
In the context of cloud computing, the task scheduling issue has an immediate effect on service quality. Task scheduling is the process of assigning...
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Minimization of path lengths for materials and workers in smart factories using particle swarm optimization algorithm
In smart factories, where humans collaborate with robots and machines, productivity can be optimized by minimizing the distance traveled by...
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Modified Adaptive Particle Swarm Algorithm
A new strategy for finding efficient solutions based on the modification and hybridization of the canonical representations of the particle swarm and...
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Detection of rice type and its storage duration via an improved particle swarm optimization algorithm
Due to the non-selective behavior of gas sensors in electronic nose (e-nose) systems, the provided signals in exposure to target analytes contain...
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A new training algorithm for long short-term memory artificial neural network based on particle swarm optimization
Long short-term memory deep artificial neural network is the most commonly used artificial neural network in the literature to solve the forecasting...
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Fixture layout optimization for large thin-walled parts based on improved particle swarm optimization algorithm
Large thin-walled parts are generally featured with large in-plane dimension and thin thickness. This kind of parts deforms easily under the action...
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A Track Association Algorithm Combining Particle Swarm Optimization with Grey Theory
Due to the numerous enemy drones engaged in combat, it places a tremendous computing burden on our multi-sensor air information fusion system and...