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2018 | OriginalPaper | Buchkapitel

Chess Problem: CSA Algorithm Based on Simulated Annealing and Experimentation System

verfasst von : Jakub Klikowski, Lukasz Karnicki, Martyna Poslednik, Leszek Koszalka, Iwona Pozniak-Koszalka, Andrzej Kasprzak

Erschienen in: Computational Collective Intelligence

Verlag: Springer International Publishing

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Abstract

This paper concentrates on the algorithm based on simulated annealing approach. The algorithm was implemented for solving the formulated chess problem. The properties of the algorithm were analyzed taking into account the results of experiments made using the designed and implemented experimentation system. This system allows testing various configurations of the algorithm and comparing the effects with those obtained by the algorithms based on ant colony optimization and genetic evolutionary ideas. The paper shows that the proposed algorithm seems to be promising.

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Literatur
1.
Zurück zum Zitat Hsu, F.H.: IBM’s deep blue chess grandmaster chips. IEEE Micro 19(2), 70–81 (1999)CrossRef Hsu, F.H.: IBM’s deep blue chess grandmaster chips. IEEE Micro 19(2), 70–81 (1999)CrossRef
2.
Zurück zum Zitat Fogel, D.B., Hays, T.J., Hahn, S.L., Quon, J.: A self-learning evolutionary chess program. Proc. IEEE 92(12), 1947–1954 (2004)CrossRef Fogel, D.B., Hays, T.J., Hahn, S.L., Quon, J.: A self-learning evolutionary chess program. Proc. IEEE 92(12), 1947–1954 (2004)CrossRef
4.
Zurück zum Zitat Thrun, S.: Learning to play the game of chess. In: Advances in Neural Information Processing Systems, pp. 1069–1076 (1995) Thrun, S.: Learning to play the game of chess. In: Advances in Neural Information Processing Systems, pp. 1069–1076 (1995)
5.
Zurück zum Zitat Baxter, J., Tridgell, A., Weaver, L.: KnightCap: a chess program that learns by combining with game-tree search. arXiv preprint cs/9901002 (1999) Baxter, J., Tridgell, A., Weaver, L.: KnightCap: a chess program that learns by combining with game-tree search. arXiv preprint cs/9901002 (1999)
6.
Zurück zum Zitat Real, D., Blair, A.: Learning a multi-player chess game with TreeStrap. In: Proceedings of IEEE Evolutionary Computation Congress (CEC), pp. 617–623 (2016) Real, D., Blair, A.: Learning a multi-player chess game with TreeStrap. In: Proceedings of IEEE Evolutionary Computation Congress (CEC), pp. 617–623 (2016)
7.
Zurück zum Zitat Wu, G., Tao, J.: Chinese chess algorithm design and implementation in the computer games. In: Proceedings of 35th Chinese Control Conference (CCC), pp. 10380–10384. IEEE (2016) Wu, G., Tao, J.: Chinese chess algorithm design and implementation in the computer games. In: Proceedings of 35th Chinese Control Conference (CCC), pp. 10380–10384. IEEE (2016)
8.
Zurück zum Zitat Vecek, N., Črepinsek, M., Mernik, M., Hrncic, D.: A comparison between different chess rating systems for ranking evolutionary algorithms. In: Proceedings of Conference on Computer Science and Information Systems (FedCSIS), pp. 511–518. IEEE (2014) Vecek, N., Črepinsek, M., Mernik, M., Hrncic, D.: A comparison between different chess rating systems for ranking evolutionary algorithms. In: Proceedings of Conference on Computer Science and Information Systems (FedCSIS), pp. 511–518. IEEE (2014)
9.
Zurück zum Zitat Dehghani, H., Babamir, S.M.: A GA based method for search-space reduction of chess game-tree. Appl. Intell. 47, 1–17 (2017)CrossRef Dehghani, H., Babamir, S.M.: A GA based method for search-space reduction of chess game-tree. Appl. Intell. 47, 1–17 (2017)CrossRef
10.
Zurück zum Zitat David, O.E., van den Herik, H.J., Koppel, M., Netanyahu, N.S.: Genetic algorithms for evolving computer chess programs. IEEE Trans. Evol. Comput. 18(5), 779–789 (2014)CrossRef David, O.E., van den Herik, H.J., Koppel, M., Netanyahu, N.S.: Genetic algorithms for evolving computer chess programs. IEEE Trans. Evol. Comput. 18(5), 779–789 (2014)CrossRef
11.
Zurück zum Zitat Borkowski, M., Palus, P., Waszczynski, M.: Metaheuristic chess artificial intelligence. AIC Report, Faculty of Electronics, Wroclaw University of Technology, Wroclaw (2014) Borkowski, M., Palus, P., Waszczynski, M.: Metaheuristic chess artificial intelligence. AIC Report, Faculty of Electronics, Wroclaw University of Technology, Wroclaw (2014)
12.
Zurück zum Zitat Kirkpatrick, S., Gelatti, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)MathSciNetCrossRef Kirkpatrick, S., Gelatti, C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)MathSciNetCrossRef
13.
Zurück zum Zitat Pardalos, P.M., Pitsoulis, L., Mavridou, T., Resende, M.G.C.: Parallel search for combinatorial optimization: genetic algorithms, simulated annealing, tabu search and GRASP. In: Ferreira, A., Rolim, J. (eds.) IRREGULAR 1995. LNCS, vol. 980, pp. 317–331. Springer, Heidelberg (1995). https://doi.org/10.1007/3-540-60321-2_26CrossRef Pardalos, P.M., Pitsoulis, L., Mavridou, T., Resende, M.G.C.: Parallel search for combinatorial optimization: genetic algorithms, simulated annealing, tabu search and GRASP. In: Ferreira, A., Rolim, J. (eds.) IRREGULAR 1995. LNCS, vol. 980, pp. 317–331. Springer, Heidelberg (1995). https://​doi.​org/​10.​1007/​3-540-60321-2_​26CrossRef
14.
Zurück zum Zitat Kakol, A., Pozniak-Koszalka, I., Koszalka, L., Kasprzak, A., Burnham, K.J.: An experimentation system for testing bee behavior based algorithm to solving a transportation problem. In: Nguyen, N.T., Kim, C.-G., Janiak, A. (eds.) ACIIDS 2011. LNCS (LNAI), vol. 6592, pp. 11–20. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20042-7_2CrossRef Kakol, A., Pozniak-Koszalka, I., Koszalka, L., Kasprzak, A., Burnham, K.J.: An experimentation system for testing bee behavior based algorithm to solving a transportation problem. In: Nguyen, N.T., Kim, C.-G., Janiak, A. (eds.) ACIIDS 2011. LNCS (LNAI), vol. 6592, pp. 11–20. Springer, Heidelberg (2011). https://​doi.​org/​10.​1007/​978-3-642-20042-7_​2CrossRef
15.
Zurück zum Zitat Bogalinski, P., Davies, D., Koszalka, L., Pozniak-Koszalka, I., Kasprzak, A.: Evaluation of strip nesting algorithms: an experimentation system for the practical users. J. Intell. Fuzzy Syst. 27(2), 611–623 (2014) Bogalinski, P., Davies, D., Koszalka, L., Pozniak-Koszalka, I., Kasprzak, A.: Evaluation of strip nesting algorithms: an experimentation system for the practical users. J. Intell. Fuzzy Syst. 27(2), 611–623 (2014)
16.
Zurück zum Zitat Jarecki, P., Kopec, P., Pozniak-Koszalka, I., Koszalka, L., Kasprzak, A., Chmaj, G.: Comparison of algorithms for finding best route in an area with obstacles. In: Proceedings of 25th International Conference on Systems Engineering (ICSEng), pp. 163–168. IEEE, Danvers (2017) Jarecki, P., Kopec, P., Pozniak-Koszalka, I., Koszalka, L., Kasprzak, A., Chmaj, G.: Comparison of algorithms for finding best route in an area with obstacles. In: Proceedings of 25th International Conference on Systems Engineering (ICSEng), pp. 163–168. IEEE, Danvers (2017)
17.
Zurück zum Zitat Shannon, C.E.: Programming computer for playing Chess. Philos. Mag. 41(314) (1950) Shannon, C.E.: Programming computer for playing Chess. Philos. Mag. 41(314) (1950)
Metadaten
Titel
Chess Problem: CSA Algorithm Based on Simulated Annealing and Experimentation System
verfasst von
Jakub Klikowski
Lukasz Karnicki
Martyna Poslednik
Leszek Koszalka
Iwona Pozniak-Koszalka
Andrzej Kasprzak
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-98446-9_3