Multi-UCAV Task Allocation Based on SMAA in Uncertain Information Environment

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According to the problem of multi-UCAV air-combat task allocation in uncertain environment, first consider the uncertainty elementsin the air-combat, the model of air-combat situation based on interval information is built, and combinat air combat situation predominance and attack gains, Finally, the model for task allocation of Multi-UCAV cooperative combat is built. Then Analysy to solve the problem used SMAA, the results show the feasibility and effectiveness of the method.

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1180-1184

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] LUO De-lin, WU Shun-xiang, DUAN Hai-bin, LI Mao-qing, Air-Combat Decision-Making for UAVs Cooperatively Attacking Multiple Targets, Journal of System Simulation, Vol. 20, pp.6778-6782, Dec. (2008).

Google Scholar

[2] Junlong Lan, Sihong Zhao, Yingxin Kou, and Zhanwu Li, Tactical Decision Making in Multi-Aircraft Cooperative Combat forMulti-target Attacking, Electronics Optics & Control. Vol. 17, No. 12, pp.17-19, Dec. (2010).

Google Scholar

[3] GUO Hui, XU Hao-jun, GU Xiang-dong, LIU Dian-yu, Air Combat Decision-making for Cooperative Multiple Target Attack Based on Improved Particle Swarm Algorithm, Fire Control & Command Control. Vol. 36, pp.49-51, Jun. (2011).

Google Scholar

[4] Bingsong Xiao, Yangwang Fang, Haibao Xia, Yunshan Xu, and Wanjun Liu, Optimal Allocation of Aerial Target Detection and Attack in Cooperative Multi-fighter Air Combat, Fire Control & Command Control. Vol. 36, No. 6, pp.19-23, Jun (2011).

Google Scholar

[5] FU Yusong, HUANG Changqiang, XUAN Yongbo, WENG Xingwei, Multi-Mission Assignment for Multi-UAV Air Combat Controlled by MAV, Electronics Optics & Control. Vol. 8, pp.6-10, Aug. (2011).

Google Scholar

[6] Gao Yong Xiang Jinwu, Target assignment in BVR air combat, Journal of Beijing University of Aeronautics and Astronautics. Vol. 33, pp.286-289, Mar. (2007).

Google Scholar

[7] ZHANG Lipeng, WEI Ruixuan, LI Xia, Autonomous Tactical Decision-Making of UCAVs in Air Combat, Electronics Optics & Control. Vol. 19, pp.92-96, Feb, (2012).

Google Scholar

[8] Lahdelma R., Hokkanen J., and Salminen P. SMAA - Stochastic multi-objective acceptability analysis, European Journal of Operational Research . Vol. 106, pp.137-143, Jan. (1998).

DOI: 10.1016/s0377-2217(97)00163-x

Google Scholar

[9] Lahdelma R., Salminen P., SMAA-2: Stochastic multi-criteria acceptability analysis for group decision making, European Journal of Operational Research. Vol. 49, pp.444-454, Mar. (2001).

DOI: 10.1287/opre.49.3.444.11220

Google Scholar

[10] Lahdelma R., Salminen P., Pseudo-criteria versus linear utility function in stochastic multi-criteria acceptability analysis, European Journal of Operational Research. Vol. 141, p.454–469, Feb. (2002).

DOI: 10.1016/s0377-2217(01)00276-4

Google Scholar

[11] Lahdelma R., Miettinen K., and Salminen P, Ordinal criteria in stochastic multi-criteria acceptability analysis (SMAA), European Journal of Operational Research. Vol. 47, pp.117-127, Jan. (2003).

DOI: 10.1016/s0377-2217(02)00267-9

Google Scholar

[12] Tervonen T., Lahdelma R., Implementing stochastic multicriteria acceptability analysis, European Journal of Operational Research. Vol. 178, p.500–513, Feb. (2007).

DOI: 10.1016/j.ejor.2005.12.037

Google Scholar

[13] Menou A., Benallou A., and Lahdelma R., et. al., Decision support for centralizing cargo at a Moroccan airport hub using stochastic multicriteria acceptability analysis, European Journal of Operational Research. Vol. 204, pp.621-629, Mar. (2010).

DOI: 10.1016/j.ejor.2009.11.021

Google Scholar