Improved Quantum-Behaved Particle Swarm Algorithm Based on Levy Flight

Abstract EN

To improve convergence speed and search accuracy, this paper proposes an improved quantum-behaved particle swarm optimization algorithm based on Levy flight.

The improved algorithm reduces the probability of a local optimal solution through Levy flight and enhances the accuracy of the later search through a postsearch strategy.

During the search process, the probability of quantum behavior is retained and the directivity of the particles is strengthened.

According to the simulation comparison results, the improved quantum-behaved particle swarm algorithm exhibits faster convergence speed and higher accuracy.