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An analysis of combined arms teaming for the Australian defence force

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  • S Wheeler

    (Defence Science and Technology Organisation)

Abstract

This study presents a quantitative analysis of combined arms teams consisting of three stages. First, an agent-based model of two generic combined arms teams is used to study the relationships between six key attributes of combined arms teams: communication, detection, lethality, mobility, protection and sustainment. Second, a genetic algorithm is applied to evolve strategies for combined arms teams against a static opposing force. Finally, a two-population genetic algorithm is used to coevolve two forces against each other. Games theory is used to analyse the results and to provide advice on the impact of adding, removing and replacing assets or capabilities within the teams. We conclude that diversity and specialization within combined arms teams is essential. Furthermore, no single combined arms team is sufficient to ensure a tactical victory on the battlefield against all potential opponents. A range of different options for constructing combined arms teams is required.

Suggested Citation

  • S Wheeler, 2006. "An analysis of combined arms teaming for the Australian defence force," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(11), pages 1279-1288, November.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:11:d:10.1057_palgrave.jors.2602104
    DOI: 10.1057/palgrave.jors.2602104
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    References listed on IDEAS

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    1. Nash, John, 1950. "The Bargaining Problem," Econometrica, Econometric Society, vol. 18(2), pages 155-162, April.
    2. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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    Cited by:

    1. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Influence of aggregation and measurement scale on ranking a compromise alternative in AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 700-710, April.
    2. Mike Metcalfe, 2013. "A Pragmatic System of Decision Criteria," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(1), pages 56-64, January.

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