Modeling and simulation of stability and support operations (SASO)

Liana Suantak, F. Momen, J. Rozenblit, D. Hillis, M. Barnes, Jerry Schlabach
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引用次数: 7

Abstract

Stability and support operations (SASO) are becoming increasingly important in modern military operations. Conflicts are no longer comprised solely of two opposing sides engaged in combat on an open battlefield. Instead, they are more likely to involve groups sharing various alliances and relationships each pursuing a range of different goals. The Sheherazade SASO wargaming engine presented here: a) incorporates subjective criteria for scoring course of action (COA) success such as the animosity between factions and attitudes of locales, b) uses nontraditional units such as refugees, media and information operators, and c) employs a coevolutionary genetic algorithm in modeling the dynamics of the complex multisided simulation for generating COAs. This paper outlines our approach towards the development of a wargaming model that handles the more complex and computationally demanding arena of SASO.
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稳定与支持作业(SASO)建模与仿真
稳定保障行动在现代军事行动中发挥着越来越重要的作用。冲突不再仅仅由在开放战场上交战的敌对双方组成。相反,它们更有可能涉及拥有各种联盟和关系的团体,每个团体都追求一系列不同的目标。这里介绍的Sheherazade SASO兵棋推演引擎:a)结合了对行动过程(COA)成功评分的主观标准,如派系之间的敌意和地区的态度;b)使用非传统单位,如难民、媒体和信息运营商;c)采用共同进化遗传算法,对复杂的多边模拟动态建模,以生成COA。本文概述了我们开发一种兵棋推演模型的方法,该模型可以处理更复杂和计算要求更高的SASO竞技场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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