Title :
Modeling and simulation of stability and support operations (SASO)
Author :
Suantak, Liana ; Momen, Faisal ; Rozenblit, Jerzy ; Hillis, David ; Barnes, Michael ; Schlabach, Jerry
Author_Institution :
Arizona Univ., Tucson, AZ, USA
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.
Keywords :
data visualisation; evolutionary computation; greedy algorithms; military computing; coevolutionary genetic algorithm; course of action; military operations; stability and support operations; wargaming model; Cities and towns; Computational modeling; Computer simulation; Engines; Genetic algorithms; Laboratories; Large-scale systems; Military computing; Stability; Visualization;
Conference_Titel :
Engineering of Computer-Based Systems, 2004. Proceedings. 11th IEEE International Conference and Workshop on the
Print_ISBN :
0-7695-2125-8
DOI :
10.1109/ECBS.2004.1316678