文档介绍：第 卷 第 期 电讯技术
61 5
Foraging Optimization Algorithm
a b c c b
WEI Yongchao , DENG Lan ,LI Tao ,D E NG Yi ,DEN G Chunyan
( a. Depar tment of Research;b. CA AC Acad emy of Flight Tec hn ology and Safety;
c. School of Civil Aviation Safety Engineering,Civil Aviation Flight University of China,Guanghan 618307,China)
Abstract
:F or the pr oblems suc h as s low convergence spee d,low effi ciency and ea sy to fall into lo cal opti-
mum in t he exist ing un man ned aerial ve hicle(UA V) track planning methods,th e UAV trajecto ry planni ng
structure is bu ilt bas ed on the improved Bac teri al For aging Op tim ization(B FO) algorithm. The algorithm is
improved from three a spects:fi rst,cha nging the fixed step size to adaptive step s ize; secon d,embedd ing the
learni ng fact or idea o f particle swarm algorithm when swim ming; third, changing th e fixed mi gra