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2021 | OriginalPaper | Chapter

18. Evolutionary Algorithms for Force Structure Options

Authors : Connor Hicks, Elizabeth Kohn, Thitima Pitinanondha

Published in: Data and Decision Sciences in Action 2

Publisher: Springer International Publishing

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Abstract

A modern Defence Force consists of a diverse range of capabilities to support missions at the tactical, operational and strategic levels. Designing a balanced and affordable force structure to meet Government strategic objectives and assure national security has always been a challenge. Force design is a centralized and enduring process within the Australian Defence Organisation that seeks to translate Government strategic objectives into a coherent force structure within specified time and budget envelopes. This process increasingly relies on analytical approaches and tools such as wargaming, simulation and optimization techniques. This paper investigates evolutionary algorithms (EAs) as a potential tool for generating and evaluating force structure options. EAs can evaluate an extremely large solution space of force mixes at a much faster rate than human cognition to determine a balanced and affordable force structure option according to an objective function. This paper also discusses the implementation of a software framework, dubbed “FORCESIGHT”, which can be customized by developers to model any scenario where the use of EAs is appropriate. Based on the outcomes of a trial of FORCESIGHT, it is clear that the EAs approach could provide a result of respectable quality. It is demonstrated that EAs can lead to large increases in efficient evaluation of potential improvements to the Force-in-Being and Future Force.

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Literature
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go back to reference Rothlauf F (2006) Representations for genetic and evolutionary algorithms. Springer, Berlin CrossRef Rothlauf F (2006) Representations for genetic and evolutionary algorithms. Springer, Berlin CrossRef
4.
go back to reference Revello T, McCartney R, Santos E (2004) Multiple strategy generation for wargaming. enabling technologies for simulation science VIII. SPIE, Orlando Revello T, McCartney R, Santos E (2004) Multiple strategy generation for wargaming. enabling technologies for simulation science VIII. SPIE, Orlando
Metadata
Title
Evolutionary Algorithms for Force Structure Options
Authors
Connor Hicks
Elizabeth Kohn
Thitima Pitinanondha
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-60135-5_18