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Quantum particle swarm optimization based on Bloch coordinates of qubits | IEEE Conference Publication | IEEE Xplore

Quantum particle swarm optimization based on Bloch coordinates of qubits


Abstract:

To improve the efficiency of particle swarm optimization, a quantum particle swarm optimization algorithm is proposed on the basis of analyzing the search process of part...Show More

Abstract:

To improve the efficiency of particle swarm optimization, a quantum particle swarm optimization algorithm is proposed on the basis of analyzing the search process of particle swarm optimization algorithm. In the proposed algorithm, particles are endoded by qubits described on the Bloch sphere, each particle occupy three locations of the search space, and each location represents a optimization solution. By employing the search method of general PSO to adjust the two parameters of qubit, the qubits rotation are performed on the Bloch sphere, which can simultaneously update three locations occupied by a qubit and quickly approach the global optimal solution. The experimental results of standard test function extreme optimization and fuzzy controller parameters optimization show that the proposed algorithm is superior to other similar algorithm in optimization ability and optimization efficiency.
Date of Conference: 23-25 July 2013
Date Added to IEEE Xplore: 19 May 2014
Electronic ISBN:978-1-4673-4714-3

ISSN Information:

Conference Location: Shenyang, China

References

References is not available for this document.