Article ID: | iaor20072442 |
Country: | United Kingdom |
Volume: | 57 |
Issue: | 11 |
Start Page Number: | 1279 |
End Page Number: | 1288 |
Publication Date: | Nov 2006 |
Journal: | Journal of the Operational Research Society |
Authors: | Wheeler S. |
Keywords: | heuristics, game theory, simulation |
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.