Abstract
The paper is devoted to a quantitative approach to support one of the most important problem solution in the area of defense planning process - armed forces (AF) structure optimization. The MUT team, taking part in Polish Strategic Defense Review has proposed a set of methods and tools to support the analyses for the evaluation of required capabilities of Polish Armed Forces in predicted security environment. The set of methods and tools presented in the paper is limited to AF structure optimization problem. The idea of optimization and particular components of the conflict model and methods of solving the problems are presented in the sequence of steps. The structure of AF is fixed for defined threat scenarios under the financial constraints or without such limitations. The measures of combat power of weapon systems for different participants of probable conflict and some important parameters like terrain or type of operation factors (multipliers) are defined and presented. The experimental results of the allocation process are based on the hypothetical conflict evaluation.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bracken, J., Kress, M., Rosenthal, R.E.: Warfare Modeling. Wiley, Hoboken (1995)
The taskform methodology: a technique for assessing comparative force modernization, TASC, Inc., Arlington, USA (1995)
Zanella, J.A.: Combat Power Analysis is Combat Power Density, School for Advanced Military Studies (SAMS), 201 Reynolds Avenue Fort Leavenworth, KS 66027-2339 (2012)
Allen, P.: Situational Force Scoring: Accounting for Combined Arms Effects in Aggregate Combat Models, RAND, Santa Monica (1992)
STUDENT TEXT 100-3, BATTLE BOOK, U.S. Army Command and General Staff College Fort Leavenworth, Kansas ACADEMIC YEAR 07 August
Tillman, M.E.: Optimizing force ratios to develop a course of action for the G3 (Operations Officer). Math. Comput. Model. Int. J. 23(1–2), 55–63 (1996)
Brown, G.G., Dell, R.F.: Optimizing Military Capital Planning. Interfaces 34(6), 415–425 (2004)
Fauske, M.F., Vestli, M., Glærum, S.: Optimization model for robust acquisition decisions in the norwegian armed forces. Interfaces 43(4), 335–352 (2013)
Tagarev, T., Tsachev, T., Zhivkov, N.: Formalizing the optimization problem long-term capability planning. Inf. Secur. Int. J. 23(1), 99–114 (2009)
Xiong, J., Yang, K.W., Liu, J., Zhao, Q.S., Chen, Y.W.: A two-stage preference-based evolutionary multi-objective approach for capability planning problems. Knowl.-Based Syst. 31, 128–139 (2012)
Najgebauer, A., Antkiewicz, R., Chmielewski, M., Dyk, M., Kasprzyk, R., Pierzchała D., Jarosław R., Tarapata Z.: The qualitative and quantitative support method for capability based planning of armed forces development. In: Intelligent Information and Database Systems, Lecture Notes in Computer Science, vol. 9012, pp. 224–234 (2015)
Michalewicz, Z.: Algorytmy genetyczne + struktury danych = programy ewolucyjne. WNT, Warszawa (2003)
Goldberg, D.E.: Algorytmy genetyczne i ich zastosowania. WNT, Warszawa (1995)
Ashlock, D.: Evolutionary Computation for Modeling and Optimization. Springer, New York (2006). ISBN 0-387-22196-4
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Najgebauer, A., Antkiewicz, R., Pierzchała, D., Rulka, J. (2019). Computer Based Methods and Tools for Armed Forces Structure Optimization. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018. ISAT 2018. Advances in Intelligent Systems and Computing, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-99996-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-99996-8_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99995-1
Online ISBN: 978-3-319-99996-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)