Quantum-Inspired Firefly Search Algorithm
LIU Xiande
YU Ruifang
LI Binxu
ZHAO Siyuan
LI Panchi
Abstract：In order to improve the search ability of firefly search algorithm,by introducing the quantum computing mechanism into the classical firefly search algorithm,a quantum-inspired firefly search algorithm is proposed. In the proposed algorithm,the qubits are used to encode individuals,the Pauli matrixes are employed to determine rotation axis,the firefly flight principle is app?plied to obtian rotation angle,and the rotation of the qubits on the Bloch sphere is used to update the individuals. The experimental results of extreme optimization of benchmark test functions show that the proposed algorithm is obviously superior to the classical firefly search algorithm in optimization ability.
Keywords：bionic intelligent optimizationswarm intelligence optimizationfirefly algorithmquantum-inspired optimiza?tionalgorithm design
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 797-802 )