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On Particle Swarm Optimization for MIMO Channel Estimation
Published 2012-01-01“…Evolutionary algorithms, in particular particle swarm optimization (PSO), have recently received much attention. …”
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Parallel Swarms Oriented Particle Swarm Optimization
Published 2013-01-01“…The particle swarm optimization (PSO) is a recently invented evolutionary computation technique which is gaining popularity owing to its simplicity in implementation and rapid convergence. …”
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Human Behavior-Based Particle Swarm Optimization
Published 2014-01-01“…Particle swarm optimization (PSO) has attracted many researchers interested in dealing with various optimization problems, owing to its easy implementation, few tuned parameters, and acceptable performance. …”
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Multiobjective Particle Swarm Optimization Based on Ideal Distance
Published 2022-01-01“…To solve this problem, we propose a multiobjective particle swarm optimization based on the ideal distance (IDMOPSO). …”
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AN APPLICATION OF FUZZY PARTICLE SWARM OPTIMIZATION FOR CUSTOMER ANALYSIS
Published 2017-06-01“…This article presents the application of the Fuzzy Particle Swarm Optimization algorithm for analyzing customer needs. …”
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Feature Selection Using Particle Swarm Optimization in Intrusion Detection
Published 2015-10-01“…Evolutionary optimization approach like genetic algorithm (GA) has been used to search the most discriminative subset of transformed features. The particle swarm optimization (PSO) is another optimization approach based on the behavioral study of animals/birds. …”
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Bibliometric Survey on Particle Swarm Optimization Algorithms (2001–2021)
Published 2022-01-01“…Particle swarm optimization algorithms (PSOA) is a metaheuristic algorithm used to optimize computational problems using candidate solutions or particles based on selected quality measures. …”
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A Comparison of Selected Modifications of the Particle Swarm Optimization Algorithm
Published 2014-01-01“…We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysis evaluated nine basic PSO types, which differ according to the swarm evolution as controlled by various inertia weights and constriction factor. …”
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Particle Swarm Optimization Algorithm and Its Application in Image Segmentation
Published 2025-01-01“…In order to greatly increase the segmentation accuracy and resilience, this study presents the Particle Swarm Optimization (PSO) technique, which optimizes the segmentation parameters through global search, and K-means in image segmentation for fatty liver level recognition and their optimization strategies. …”
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A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy
Published 2014-01-01“…Although Particle Swarm Optimization (PSO) has demonstrated competitive performance in solving global optimization problems, it exhibits some limitations when dealing with optimization problems with high dimensionality and complex landscape. …”
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Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis
Published 2014-01-01“…The Particle Swarm Optimization (PSO) Algorithm is a popular optimization method that is widely used in various applications, due to its simplicity and capability in obtaining optimal results. …”
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Research on the Meteorological Prediction Algorithm Based on the CNSS and Particle Swarm Optimization
Published 2021-01-01“…In this study, a meteorological prediction algorithm based on the CNSS and particle swarm optimization is proposed. Aiming at the phenomenon that the particle swarm optimization (PSO) algorithm is prone to slow convergence speed and low optimization accuracy and there is a local optimal but cannot achieve the global optimal, an adaptive Kent chaotic map PSO algorithm is proposed. …”
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Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition
Published 2013-01-01“…To tackle the constrained problem, we propose a discrete particle swarm optimization (DPSO) with scout particles, where each particle, represented as a binary matrix, corresponds to a candidate solution to the problem. …”
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Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization
Published 2014-01-01“…Existing face recognition methods utilize particle swarm optimizer (PSO) and opposition based particle swarm optimizer (OPSO) to optimize the parameters of SVM. …”
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Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization
Published 2016-04-01“…In this paper, we study the probability model of directional perceived nodes and propose an improved deterministic deployment algorithm based on particle swarm optimization to increase perceived probability. …”
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Charging Guidance of Electric Taxis Based on Adaptive Particle Swarm Optimization
Published 2015-01-01“…An electric taxis charging guidance model is established and guides the charging based on the positions of taxis and charging stations with adaptive mutation particle swarm optimization. The simulation is based on the actual data of Shenzhen charging stations, and the results show that electric taxis can be evenly distributed to the appropriate charging stations according to the charging pile numbers in charging stations after the charging guidance. …”
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Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization
Published 2012-01-01“…In this study, we use a technique of particle swarm optimization (PSO) as an optimization vehicle of forming a subset of features and data (instances) to design a fuzzy model. …”
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Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem
Published 2013-01-01“…Based on the life cycle cost (LCC) approach, this paper presents an integral mathematical model and particle swarm optimization (PSO) algorithm for the heating system planning (HSP) problem. …”
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A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network
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Consensus Control of Second-Order Multiagent Systems with Particle Swarm Optimization Algorithm
Published 2018-01-01“…In order to improve the control effect of a given system, the particle swarm optimization (PSO) algorithm is introduced and an improved PSO algorithm is proposed. …”
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