Pattern Search-based Particle Swarm Optimization Algorithm

Zhang, Yingjie; Chen, Hong-an

doi:10.4156/jcit.vol6.issue8.9

JCIT

2011

DOI: 10.4156/jcit.vol6.issue8.9

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Pattern Search-based Particle Swarm Optimization Algorithm

Yingjie Zhang¹,

Hong-an Chen²

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Cited by 4 publications

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Extrapolated particle swarm optimization based on orthogonal design

Feng¹,

Liu²,

Zhang³

et al. 2012

JCIT

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To overcome the drawbacks of premature and poor convergence of classical PSO, a new particle swarm optimization is proposed by combining extrapolation technique and orthogonal design. Orthogonal design is introduced to design self-adaptive orthogonal crossover operator (SOC) which self-adaptively adjusts the number of orthogonal array's factors and the location for dividing the parent particles into several sub-vectors according to the similarity of each dimension. While the definition of particle similarity, a clear duplicate operator is incorporated into the algorithm. The experimental tests are carried out on benchmark functions. The simulation results show that the proposed algorithm is a generic and effective algorithm.

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Extrapolated particle swarm optimization based on orthogonal design

Feng¹,

Liu²,

Zhang³

et al. 2012

JCIT

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A Wavelet-based PSO Algorithm with Repetitive Search

Zhang¹,

Fu²,

Zhang

2012

JCIT

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The 3D Artificial Reef Ecology Design and Deployment

Lan¹,

Lan²,

Kuo³

2012

JCIT

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Pattern Search-based Particle Swarm Optimization Algorithm

Cited by 4 publications

References 0 publications

Extrapolated particle swarm optimization based on orthogonal design

Extrapolated particle swarm optimization based on orthogonal design

A Wavelet-based PSO Algorithm with Repetitive Search

The 3D Artificial Reef Ecology Design and Deployment

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