Quantum-behaved Particle Swarm Optimization Algorithm for Solving Nonlinear Equations

DOI

10.2991/iccia.2012.417How to use a DOI?

Keywords

Quantum Particle Swarm Optimization, Quantum rotation gates, Nonlinear equations, Function optimization

Abstract

A quantum-behaved particle swarm optimization algorithm is presented in this paper for solving nonlinear equations. The positions of particle are coded by probability amplitudes of qubits that are updated by quantum rotation gates in this method. The corresponding real number solution at specified interval can be extracted by this algorithm for solving nonlinear equations. Compared to real traditional method, the simulation results show that this algorithm is more accurate and effective.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaofeng Zhang
AU  - Guifang Sui
PY  - 2014/05
DA  - 2014/05
TI  - Quantum-behaved Particle Swarm Optimization Algorithm for Solving Nonlinear Equations
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1674
EP  - 1677
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.417
DO  - 10.2991/iccia.2012.417
ID  - Zhang2014/05
ER  -