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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106055


    Title: A new approach to multi-aircraft air combat assignments
    Authors: 蘇木春;Su, Mu-Chun;Lai, Shih-Chang;Lin, Shih-Chieh;You, Liang-Fu
    Contributors: 資訊電機學院資訊工程學系
    Keywords: Multi-aircraft assignment;Optimization;PSO algorithm;SOM algorithm;Swarm intelligence
    Date: 2012-10-01
    Issue Date: 2026-04-23 13:06:28 (UTC+8)
    Publisher: Elsevier BV;Elsevier B.V
    Abstract: 摘要: In this paper, a multi-layer perceptron based on 6 important features is proposed for predicting the time needed by our aircraft to approach enemy aircraft when they are in a combat situation. Then the prediction module is incorporated into a SOMO-based decision aid for solving multi-aircraft assignment problems. The problem of assigning our aircraft to meet head-on enemy aircraft in a combat situation is formulated as a constrained resource allocation problem. The objective function of the multi-aircraft assignment problem is a measure for computing the expected overall predominance value of aircraft over enemy aircraft based on four predominance factors. The SOMO algorithm which is an extension version of the SOM algorithm for optimization is executed to find an assignment such that the expected overall predominance value of aircraft can be maximized. Four hundred combat situations are simulated to test the effectiveness of the proposed SOMO-based decision aid. The simulation results demonstrate that the SOMO-based decision aid could provide appealing solutions within 0.5 s even for combat situations with a large number of aircraft.
    出版者: Elsevier B.V
    出版日期: 2012-10
    出處: Swarm and evolutionary computation, 2012-10, Vol.6, p.39-46
    版權: 2012 Elsevier B.V.
    識別號: ISSN: 2210-6502
    識別號: DOI: 10.1016/j.swevo.2012.03.003
    Appears in Collections:[Department of Computer Science and information Engineering] journal & Dissertation

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