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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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Papers overview

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Highly Cited
2013
Highly Cited
2013
This paper proposes a deterministic particle swarm optimization to improve the maximum power point tracking (MPPT) capability for… 
Highly Cited
2010
Highly Cited
2010
This paper presents an efficient approach for solving economic dispatch (ED) problems with nonconvex cost functions using an… 
Highly Cited
2009
Highly Cited
2009
Interruptible loads represent highly valuable demand side resources within the electricity industry. However, maximizing their… 
Highly Cited
2008
Highly Cited
2008
Since the beginning of the nineteenth century, a significant evolution in optimization theory has been noticed. Classical linear… 
Highly Cited
2007
Highly Cited
2007
Particle swarm optimization (PSO) as a novel computational intelligence technique, has succeeded in many continuous problems. But… 
Highly Cited
2007
Highly Cited
2007
This paper presents an efficient and reliable swarm intelligence-based approach, namely elitist-mutated particle swarm opti… 
Highly Cited
2005
Highly Cited
2005
An image clustering method that is based on the particle swarm optimizer (PSO) is developed in this paper. The algorithm finds… 
Highly Cited
2005
Highly Cited
2005
Particle swarm optimization (PSO) is an alternative population-based evolutionary computation technique. It has been shown to be… 
Highly Cited
2004
Highly Cited
2004
Based on the quantum-behaved particle swarm optimization (QPSO) algorithm, we formulate the philosophy of QPSO and introduce a so… 
Highly Cited
2003
Highly Cited
2003
This paper proposes a new application of particle swarm optimization for traveling salesman problem. We have developed some…