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Review

2019

Review

2019

Maximum power point trackers (MPPT) are required in order to obtain optimal photovoltaic power. To achieve this task, an… Expand

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Review

2018

Review

2018

Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm motivated by intelligent collective… Expand

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Highly Cited

2007

Highly Cited

2007

Abstract
Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned… Expand

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Highly Cited

2004

Highly Cited

2004

This paper presents an approach in which Pareto dominance is incorporated into particle swarm optimization (PSO) in order to… Expand

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Highly Cited

2004

Highly Cited

2004

The particle swarm optimizer (PSO) is a stochastic, population-based optimization technique that can be applied to a wide range… Expand

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Highly Cited

2003

Highly Cited

2003

The particle swarm optimization algorithm is analyzed using standard results from the dynamic system theory. Graphical parameter… Expand

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Highly Cited

1999

Highly Cited

1999

We empirically study the performance of the particle swarm optimizer (PSO). Four different benchmark functions with asymmetric… Expand

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Highly Cited

1999

Highly Cited

1999

A very simple particle swarm optimization iterative algorithm is presented, with just one equation and one social/confidence… Expand

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Highly Cited

1998

Highly Cited

1998

This paper first analyzes the impact that inertia weight and maximum velocity have on the performance of the particle swarm… Expand

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Highly Cited

1995

Highly Cited

1995

A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several… Expand

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