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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.
Highly Cited
2013
Highly Cited
2013
A Deterministic Particle Swarm Optimization Maximum Power Point Tracker for Photovoltaic System Under Partial Shading Condition
This paper proposes a deterministic particle swarm optimization to improve the maximum power point tracking (MPPT) capability for… 
Highly Cited
2011
Highly Cited
2011
Nonlinear Inertia Weight Variation for Dynamic Adaptation in Particle Swarm Optimization
A nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization (NDWPSO) was presented to solve the… 
Highly Cited
2010
Highly Cited
2010
An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems
This paper presents an efficient approach for solving economic dispatch (ED) problems with nonconvex cost functions using an… 
Highly Cited
2010
Highly Cited
2010
An improved particle swarm optimization algorithm
Particles can remember some information in an optimization process. They learn by themselves and from other particles, so the… 
Highly Cited
2009
Highly Cited
2009
Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization
Interruptible loads represent highly valuable demand side resources within the electricity industry. However, maximizing their… 
Highly Cited
2008
Highly Cited
2008
Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives
Since the beginning of the nineteenth century, a significant evolution in optimization theory has been noticed. Classical linear… 
Highly Cited
2007
Highly Cited
2007
Multipurpose Reservoir Operation Using Particle Swarm Optimization
This paper presents an efficient and reliable swarm intelligence-based approach, namely elitist-mutated particle swarm opti… 
Highly Cited
2005
Highly Cited
2005
A Parallel Particle Swarm Optimization Algorithm with Communication Strategies
Particle swarm optimization (PSO) is an alternative population-based evolutionary computation technique. It has been shown to be… 
Highly Cited
2004
Highly Cited
2004
A global search strategy of quantum-behaved particle swarm optimization
Based on the quantum-behaved particle swarm optimization (QPSO) algorithm, we formulate the philosophy of QPSO and introduce a so… 
Highly Cited
2002
Highly Cited
2002
Particle swarms for feedforward neural network training
Particle swarm is an optimization paradigm for real-valued functions, based on the social dynamics of group interaction. We… 
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