An Improved Quantum-inspired Particle Swarm Optimization Algorithm
LI Leilei
LI Panchi
ZHAO Ya
Abstract：In order to improve the optimization ability of quantum particle swarm optimization algorithm,an improved quan-tum particle swarm optimization algorithm is proposed in this paper.In this algorithm,the particles are encoded by qubits based on Bloch sphere description,the rotation Angel is determined by particle swarm optimization algorithm based on Delta potential well,and the particles are updated by the axial rotation of qubits on Bloch sphere.This update method can adjust two qubit parameters si-multaneously and achieve the best match of the two adjustments.At the same time,the mutation is performed with Hadamard gate to avoid premature convergence.The experimental results of function extremum optimization show that compared with similar algo-rithms,the improved algorithm has different degree of improvement in most test functions.
Keywords：quantum computationBloch spherical codingrotation matrixparticle swarm optimizationalgorithm design
Publication Date：2025-02-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 303-307,394 )