Gamification of the optimization problem and multi-point type optimization methods

Takashi Okamoto, Eitaro Aiyoshi

研究成果: Conference contribution

抄録

In this study, we transform an optimization problem into a game problem by multiple decision makers. This transformation is called gamification of the optimization problem. Then, we discuss correspondence of the dynamics to search the rational solution of the game problem with the multi-point type optimization method to search the optimal solution of the original problem. Specifically, we propose a condition to compose objective functions of multiple decision makers who interfere with each other from the objective function of the original problem so that equivalence of the Nash equilibrium solution of the game problem to the optimal solution of the original problem is guaranteed. Then, correspondence of the gradient dynamics to solve the game problem with the multi-point type optimization method is discussed. We also show some numerical examples in order to explain the gamification of the optimization problem.

本文言語English
ホスト出版物のタイトルProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
ページ3516-3522
ページ数7
DOI
出版ステータスPublished - 2013 12月 1
イベント2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom
継続期間: 2013 10月 132013 10月 16

出版物シリーズ

名前Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

Other

Other2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
国/地域United Kingdom
CityManchester
Period13/10/1313/10/16

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用

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