Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Nonlinear Equations

Xiao Feng Zhang; Gui Fang  Sui

doi:10.4028/www.scientific.net/AMR.756-759.2926

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Quantum-Behaved Particle Swarm Optimization...

Quantum-Behaved Particle Swarm Optimization Algorithm for Solving Nonlinear Equations

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.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

2926-2931

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.2926

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Online since:

September 2013

Authors:

Xiao Feng Zhang, Gui Fang Sui

Keywords:

Function Optimization, Nonlinear Equations, Quantum Particle Swarm Optimization, Quantum Rotation Gates

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