A Quantum Evolutionary Algorithm on Cruise Missile Path Planning and Replanning
QIAO Dongdong
FANG Yangwang
ZHANG Lei
PENG Weishi
Abstract：Aimed at the problem of cruise missile path planning,a Competition Quantum Evolutionary Algo-rithm (CQEA)is proposed in this paper.The algorithm is a kind of optimum solution through two direc-tion evolution and self?adapting variation to avoid to land itself into the local.Meanwhile,for the real?time request of path re?planning,surface of minimum risk and search vertical bar are reduced to decline the di-mension of the primary 3?dimensional space.The initial population is obtained through an idea of opera-tional area cluster to guarantee its non?inferiority.The simulation results show that compared to PAQEA, CQEA is good in searching efficiency.And compared to 3?dimensional space,CQEA is good in perform-ance in the new searching space.
Keywords：cruise missilepath re?planningcompetition quantum evolutionary algorithmsearch vertical barsurface of minimum riskoperational area cluster
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 28-34 )