A Quantum-Based Particle Swarm Optimization Algorithm Applied to Inverse Problems
IEEE Transactions on MagneticsPublished 1 May 2013
S. L. Ho, Shiyou Yang, Guangzheng Ni, Jin Huang
Citations33
SJR quartileQ2
SJR score0.73
SNIP1.11
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TL;DR
An improved Quantum-based PSO (QPSO) algorithm is proposed with an ultimate goal of preserving the simplicities of available QPSOs, with improvements including the design of diversification and intensification phases, searching mechanisms and a strategy to shift away from the worst solutions.
Abstract
To balance exploration and exploitation searches in order to prevent premature convergences in Particle Swarm Optimization (PSO) algorithms, an improved Quantum-based PSO (QPSO) algorithm is proposed with an ultimate goal of preserving the simplicities of available QPSOs. The improvements include the design of diversification and intensification phases, searching mechanisms and a strategy to shift away from the worst solutions. The proposed QPSO are compared to available optimizers on two case studies to showcase its merits.
Keywords
Computer ScienceEngineering
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