An optimized quantum particle swarm algorithm based on the D-dimensional hyper-chaotic discrete system equation

摘要

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm inspired by social behavior patterns of organisms that research on such as fish schooling and bird flocking. This essay presents a new Quantum-behaved PSO (QPSO) algorithm using hyper-chaotic discrete system equation, as h-QPSO. The simulation results of the classical function have demonstrated that the h-QPSO algorithm is superior to the classical PSO algorithm and the quantum PSO algorithm in its performance.