title: Modeling and optimization of multiple unmanned aerial vehicles system architecture alternatives.
abstract: Unmanned aerial vehicle (UAV) systems have already been used in civilian activities, although very limitedly. Confronted different types of tasks, multi UAVs usually need to be coordinated. This can be extracted as a multi UAVs system architecture problem. Based on the general system architecture problem, a specific description of the multi UAVs system architecture problem is presented. Then the corresponding optimization problem and an efficient genetic algorithm with a refined crossover operator (GA-RX) is proposed to accomplish the architecting process iteratively in the rest of this paper. The availability and effectiveness of overall method is validated using 2 simulations based on 2 different scenarios.
authors.affiliation: College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Dongliang
authors.identifier: 0000-0003-0807-3602
authors.initials: D
authors.lastname: Qin
authors.affiliation: College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Zhifei
authors.identifier: 0000-0002-4601-2205
authors.initials: Z
authors.lastname: Li
authors.affiliation: College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Feng
authors.identifier: 0000-0001-7773-6874
authors.initials: F
authors.lastname: Yang
authors.affiliation: College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Weiping
authors.initials: W
authors.lastname: Wang
authors.affiliation: College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China.
authors.forename: Lei
authors.initials: L
authors.lastname: He
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D008962:Models, Theoretical; D012371:Robotics