Version 1
: Received: 14 April 2019 / Approved: 16 April 2019 / Online: 16 April 2019 (10:40:24 CEST)
How to cite:
Shi, J.; Zhang, J.; Lei, H.; Liu, Z. Weapon Configuration, Allocation and Route Planning for a Fleet of Unmanned Combat Air Vehicles. Preprints2019, 2019040180
Shi, J.; Zhang, J.; Lei, H.; Liu, Z. Weapon Configuration, Allocation and Route Planning for a Fleet of Unmanned Combat Air Vehicles. Preprints 2019, 2019040180
Shi, J.; Zhang, J.; Lei, H.; Liu, Z. Weapon Configuration, Allocation and Route Planning for a Fleet of Unmanned Combat Air Vehicles. Preprints2019, 2019040180
APA Style
Shi, J., Zhang, J., Lei, H., & Liu, Z. (2019). Weapon Configuration, Allocation and Route Planning for a Fleet of Unmanned Combat Air Vehicles. Preprints. https://doi.org/
Chicago/Turabian Style
Shi, J., Hongtao Lei and Zhong Liu. 2019 "Weapon Configuration, Allocation and Route Planning for a Fleet of Unmanned Combat Air Vehicles" Preprints. https://doi.org/
Abstract
There is an increasing trend that Unmanned Combat Air Vehicles (UCAVs) are employed to complete different combat missions in modern wars. This paper investigates a UCAV routing problem, which simultaneously considers the decisions for the configuration of weapons carried by the UCAV subject to its capacity and the allocation of weapons to the targets subject to their destroying requirements. An integer linear programming model is developed to formulate the problem. An adaptive large neighborhood search (ALNS) heuristic is proposed to solve the problem, in which seven neighborhood structures are designed and employed. Randomly generated instances covering the small, medium and large sizes are used to test the proposed ALNS algorithm. CPLEX is also utilized to solve the small-size instances, whose results are compared with that obtained by the ALNS algorithm. And the extensive experimental results confirm the effectiveness and superiority of the proposed ALNS algorithm.
Keywords
unmanned air vehicles; mission planning; routing; weapon configuration; adaptive large neighborhood search
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
