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Particle swarm optimization

Known as: MOPSO, Particle swarm optimisation, PSO 
In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a… 
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Related topics

Related topics

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Ant colony optimization algorithmsArtificial bee colony algorithmArtificial neural networkBees algorithm

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2021
2021
Control-Based Maximum Power Point Tracking for a Grid-Connected Hybrid Renewable Energy System Optimized by Particle Swarm Optimization
There has been a great deal of interest in renewable energy sources for electricity generation, particularly for photovoltaic and… 
2018
2018
Supply chain scheduling optimization based on genetic particle swarm optimization algorithm
In order to optimize supply chain scheduling problem in mass customization mode, the mathematical programming of supply chain… 
Highly Cited
2009
Highly Cited
2009
ENGINEERING OPTIMIZATION WITH HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION
This article presents a heuristic particle swarm ant colony optimization algorithm to solve engineering optimization problems… 
Highly Cited
2008
Highly Cited
2008
Design of a Fractional Order PID Controller Using Particle Swarm Optimization Technique
Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In… 
2008
2008
Catfish particle swarm optimization
Catfish particle swarm optimization (CatfishPSO) is a novel optimization algorithm proposed in this paper. The mechanism is… 
Highly Cited
2007
Highly Cited
2007
Clonal particle swarm optimization and its applications
Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in… 
Highly Cited
2007
Highly Cited
2007
Differential Evolution Based Particle Swarm Optimization
A new, almost parameter-free optimization algorithm is developed in this paper as a hybrid of the barebones particle swarm… 
2007
2007
Economic dispatch optimization using hybrid chaotic particle swarm optimizer
Particle swarm optimization (PSO) is a population-based stochastic optimization technique, originally developed by Eberhart and… 
Highly Cited
2006
Highly Cited
2006
Timetable Scheduling Using Particle Swarm Optimization
In timetable scheduling problems, examination subjects must be slotted to certain times that satisfy several of constraints. They… 
Highly Cited
2003
Highly Cited
2003
MULTIOBJECTIVE OPTIMIZATION USING PARALLEL VECTOR EVALUATED PARTICLE SWARM OPTIMIZATION
This paper studies a parallel version of the Vector Evaluated Particle Swarm Optimization (VEPSO) method for multiobjective… 
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