Intelligent optimization method of joint firepower strike plan based on CE-QPSO algorithm

Abstract

Aiming at the problem of "fast and precise" in the optimization of joint fire strike scheme, a cross-entropy-quantum particle swarm optimization algorithm is designed, and an intelligent optimization method of joint fire strike scheme based on this algorithm is proposed. The algorithm fully combines the good global optimization ability of the cross-entropy algorithm and the efficient operation of the quantum particle swarm algorithm. By constructing a discrete probability matrix, the uncertain motion of the particles is more directional and the cooperative optimization ability of the particles is improved. The experimental results show that the intelligent optimization method of the joint fire strike scheme based on this algorithm can effectively improve the optimization effect and optimization efficiency of the joint fire strike scheme, and has obvious advantages compared with the standard cross-entropy algorithm and the standard quantum particle swarm optimization algorithm.

Keywords

• joint firepower strike plan|intelligent optimization method|cross entropy|quantum particle swarm optimization algorithm