Abstract
Coordinated planning is a key technology for multiple Unmanned Combat Aerial Vehicles (UCAVs) control problem. In this paper, the velocity of each UCAV is planned to coordinate the sequence, in which the UCAVs pass their critical waypoints. The coordinated planning problem is formulated as a multi-objective optimal one. The objective consists in minimizing the total risk and the difference between the average and expected velocity of each UCAV. The acceleration ability of an UCAV is treated as the problem constraint. A steady-state multi-objective evolutionary algorithm (MOEA) with e-dominance conception is introduced to solve the multi-objective optimal problem at hand. A local search framework using scalar fitness function is proposed to enhance the performance. Experiment results show that the model is reasonable and the algorithms are effective and correct.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
