Open Access Open Access  Restricted Access Subscription or Fee Access

An approach for UAV reconnaissance mission planning problem under uncertain environment

Jiansheng Guo, Zutong Wang, Mingfa Zheng, Ying Wang


Unmanned Aerial Vehicles (UAVs) are becoming more and more significant to information gathering in military operations. Given the complex and dynamic nature in combat environment, the uncertainty is considered in UAVs mission planning, rather than the probability, which was mainly considered in previous work. Based on the uncertainty theory, this paper is devoted to the UAV reconnaissance mission planning problem under uncertain environment with three optimization objectives. Considering the uncertain, multiobjective and combinatorial nature of the problem proposed, a new ABC algorithm inserted by reverse operator and mutation operator is designed to solve this problem. Finally, an application case study with 13 reconnaissance targets is presented and solved, and the results show that the proposed model and solution approach have excellent consistency and efficiency in solving the UAV reconnaissance mission planning problem under uncertain environment.


unmanned aerial vehicles, mission planning, uncertainty theory, artificial bee colony algorithm

Full Text:



  • There are currently no refbacks.

Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.