A Novel Disruption Operator in Particle Swarm Optimization

Gui Yan Ding; Hao  Liu; Xi Qin He

doi:10.4028/www.scientific.net/AMM.380-384.1216

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384A Novel Disruption Operator in Particle Swarm...

A Novel Disruption Operator in Particle Swarm Optimization

Abstract:

Particle Swarm Optimization (PSO) has attracted many researchers attention to solve variant benchmark and real-world optimization problems because of its simplicity, effective performance and fast convergence. However, it suffers from premature convergence because of quickly losing diversity. To enhance its performance, this paper proposes a novel disruption strategy, originating from astrophysics, to shift the abilities between exploration and exploitation. The proposed Disruption PSO (DPSO) has been evaluated on a set of nonlinear benchmark functions and compared with other improved PSO. Comparison results confirm high performance of DPSO in solving various nonlinear functions.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1216-1220

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1216

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Online since:

August 2013

Authors:

Gui Yan Ding, Hao Liu, Xi Qin He

Keywords:

Disruption Operator, Particle Swarm Optimization (PSO), Swarm Intelligence

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