Game-Theoretical Viewpoint to Optimal Design

Article Preview

Abstract:

The main goal of this study is to improve the game-theoretical approach for making the best structural design choices in situations where we are not sure what the external loads will be. The game formulation is used to improve games with different control functions. A game on a unit square needs at least two levels because of the basic need for optimization. In a stratified game, the levels are called the substratum and superstratum levels. At the basic level, the way to improve something is like the payoff function, with "ordinal players" trying to make the respective payoff functions as small or as big as possible. The strategies used by these "ordinal players" are limited by their resources, and the value of the substratum game on the unit square is reflected in these strategies. At the upper level of the game, its value depends on the design parameters. The "designer," or the main player, controls these design parameters. If there are multiple players with different goals, the game decides how to handle that. On the other hand, if there is only one cardinal player, finding the maximum value of the superstratum game is the same as a regular optimization. The following text will give you all the information you need. The text presents the exact solutions for two different types of quadratic game formulations: the matrix game and the game on the unit square

You have full access to the following eBook

Info:

* - Corresponding Author

[1] N.V. Banichuk, "On the game theory approach to problems of optimization of elastic bodies," Journal of Applied Mathematics and Mechanics, pp. Volume 37, Issue 6, pp.1042-1052, https://doi.org/10.1016/0021-8928(73)90069-5, 1973.

DOI: 10.1016/0021-8928(73)90069-5

Google Scholar

[2] C. Thore, E. Holmberg und A. Klarbring, "A general framework for robust topology optimization under load-uncertainty including stress constraints.," Computer Methods in Applied Mechanics and Engineering, Volume 319, https://doi.org/10.1016/j.cm, p.1, 2017.

DOI: 10.1016/j.cma.2017.02.015

Google Scholar

[3] C.-J. Thore, H. Alm Grundström und A. Klarbring, "Game formulations for structural optimization under uncertainty.," Int J Numer Methods Eng., p.121: 165–185. https://doi.org/10.1002/nme.6204, 2020.

DOI: 10.1002/nme.6204

Google Scholar

[4] F. Chernousko und A. Melikyan, "Some Differential Games with Incomplete Information," in Optimization Techniques IFIP Technical Conference. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-662-38527-2_62, Berlin, Heidelberg, Springer, 1975.

DOI: 10.1007/978-3-662-38527-2_62

Google Scholar

[5] J. Szép und F. Forgó, "Games against nature," in Introduction to the Theory of Games. Mathematics and Its Applications, vol 17., Dordrecht. https://doi.org/10.1007/978-94-009-5193-8_21, Springer, 1985, pp.230-236.

DOI: 10.1007/978-94-009-5193-8_21

Google Scholar

[6] V. Kobelev, "On a game approach to optimal structural design," Struct Multidisc Optimization, https://doi.org/10.1007/BF01743512, pp.194-199, 1993.

Google Scholar

[7] I. Elishakoff und M. Ohsaki, Optimization and Anti-optimization of Structures Under Uncertainty, London, ISBN 9781848164772: Imperial College Press,, 2010.

DOI: 10.1142/p678

Google Scholar

[8] J. Szép und F. Forgó, "The n-person game," in Introduction to the Theory of Games. Mathematics and Its Applications, vol 17. , Dordrecht. https://doi.org/10.1007/978-94-009-5193-8_2, Springer, 1985, pp.18-21.

DOI: 10.1007/978-94-009-5193-8_2

Google Scholar

[9] S. Tadelis, Game Theory. An Introduction., Princeton and Oxford: Princeton University Press, 2013.

Google Scholar

[10] S. Karlin, Mathematical methods and theory in games, programming and economics, Addison-Wesley , 1959.

Google Scholar

[11] J. von Neumann, "Zur Theorie der Gesellschaftsspiele," Math. Ann., V. 100, https://link.springer.com/content/pdf/10.1007/BF01448847.pdf, p.295–320, 1928.

DOI: 10.1007/bf01448847

Google Scholar

[12] D. Werner, "Normierte Räume," in Funktionalanalysis. Springer-Lehrbuch., Berlin, Heidelberg, Springer Spektrum, https://doi.org/10.1007/978-3-662-55407-4_1, 2018.

DOI: 10.1007/978-3-662-55407-4_1

Google Scholar

[13] J. von Neumann und O. Morgenstern, Theory of Games and Economic Behavior, Princeton: Princeton University Press. https://doi.org/10.1515/978140082946, 2004.

Google Scholar

[14] F. Zhang, Matrix Theory, Basic Results and Techniques, New York: Springer, https://doi.org/10.1007/978-1-4614-1099-7 , 2011.

Google Scholar

[15] R. Luce und H. Raiffa, Games and decisions. Introduction and critical survey, Hoboken: Wiley , 1957.

Google Scholar

[16] J. Szép und F. Forgó, "Games played over the unit square," in Introduction to the Theory of Games. Mathematics and Its Ap-plications, vol 17, Dordrech, thttps://doi.org/10.1007/978-94-009-5193-8_16, Springer, 1985, pp.196-199.

DOI: 10.1007/978-94-009-5193-8_16

Google Scholar

[17] European Commission, "Science and Technology for Near-Earth Object Impact Prevention, https://doi.org/10.3030/640351," CORDIS - EU research results, European Union, Brussel, 2022.

Google Scholar

[18] S. Lem, Pilot Pirx, Frankfurt am Main: Suhrkamp-Verlag, 2003.

Google Scholar

[19] V. Kobelev, "On the Game-Based Approach to Optimal Design," Eng, 5(4), https://doi.org/10.3390/eng5040169, pp.3212-3238., 2024.

Google Scholar