简介：

简介：OptimalformationreconfigurationcontrolofmultipleUninhabitedCombatAirVehicles(UCAVs)isacomplicatedglobaloptimumproblem.ParticleSwarmOptimization(PSO)isapopulationbasedstochasticoptimizationtechniqueinspiredbysocialbehaviourofbirdflockingorfishschooling.PSOcanachievebetterresultsinafaster,cheaperwaycomparedwithotherbio-inspiredcomputationalmethods,andtherearefewparameterstoadjustinPSO.Inthispaper,weproposeanimprovedPSOmodelforsolvingtheoptimalformationreconfigurationcontrolproblemformultipleUCAVs.Firstly,theControlParameteri-zationandTimeDiscretization(CPTD)methodisdesignedindetail.Then,themutationstrategyandaspecialmutation-escapeoperatorareadoptedintheimprovedPSOmodeltomakeparticlesexplorethesearchspacemoreefficiently.Theproposedstrategycanproducealargespeedvaluedynamicallyaccordingtothevariationofthespeed,whichmakesthealgorithmexplorethelocalandglobalminimathoroughlyatthesametime.SeriesexperimentalresultsdemonstratethefeasibilityandeffectivenessoftheproposedmethodinsolvingtheoptimalformationreconfigurationcontrolproblemformultipleUCAVs.