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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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An improved dynamic weighted particle swarm optimization (IDW-PSO) for continuous optimization problem
In this Study we found that Learning from the natural phenomenon of the social animal is the best way to learn and getting a best mechanism for...
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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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Improved Artificial Rabbit Optimization Algorithm Fused with Particle Swarm Optimization for Wireless Sensor Network Coverage Optimization
Aiming at the problem of low node coverage during node deployment in wireless sensor network (WSN), an improved artificial rabbit optimization...
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A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams
In this paper, a hybrid meta-heuristic algorithm based on Harris Hawk Optimization (HHO) and Particle Swarm Optimization (PSO) is developed and used...
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RGG-PSO+: Random Geometric Graphs Based Particle Swarm Optimization Method for UAV Path Planning
Evolutionary algorithms, such as particle swarm optimization (PSO), are widely applied to UAV path planning problems. However, the fixed particle...
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Optimization of PID controller parameters using a hybrid PSO algorithm
PID controller parameter optimization is crucial for improving system stability, reliability, and responsiveness. To improve the efficiency of a PID...
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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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PSO + GWO: a hybrid particle swarm optimization and Grey Wolf optimization based Algorithm for fine-tuning hyper-parameters of convolutional neural networks for Cardiovascular Disease Detection
Cardiovascular diseases are one of the most common health problems worldwide. In this study, a hybrid model is proposed to predict cardiovascular...
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Two-phase heat transfer microchannel system identification with Particle Swarm Optimization (PSO) approach
The complex behavior of two-phase flow particularly in microchannels can be unpredictable. Experimental measurements are near impossible because of...
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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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A Fast-Converging Particle Swarm Optimization through Targeted, Position-Mutated, Elitism (PSO-TPME)
We improve convergence speed by two orders of magnitude and the global exploration capabilities of particle swarm optimization (PSO) through targeted...
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Particle Swarm Optimization
In this chapter, a new artificial intelligence optimization tool, a detailed introduction for particle swarm optimization (PSO) is presented here....
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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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Improved particle swarm optimization algorithm based on grou** and its application in hyperparameter optimization
In this article, an Improved Particle Swarm Optimization (IPSO) is proposed for solving global optimization and hyperparameter optimization. This...
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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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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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Turbulent Particle Swarm Optimization and Genetic Algorithm for Function Maximization
The optimization problems can be solved by using population based heuristic search techniques namely Particle Swarm Optimization (PSO) and Genetic...
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Spacecraft Anti-reconnaissance Game based on Particle Swarm Optimization Algorithm
This paper proposes an optimization strategy using competitive particle swarm algorithm for the anti-reconnaissance problem in the near-range game...
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A hybrid genetic-particle swarm optimization algorithm for multi-constraint optimization problems
This paper presents a new hybrid genetic-particle swarm optimization (GPSO) algorithm for solving multi-constrained optimization problems. This...
