Coupling of immune algorithms and game theory in multiobjective optimization / Paweł Jarosz, T. Burczyński // W: Artificial intelligence and soft computing : 10th International Conference on Artificial ... więcej

Coupling of immune algorithms and game theory in multiobjective optimization / Paweł Jarosz, T. Burczyński // W: Artificial intelligence and soft computing : 10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010) : Zakopane, Poland, June 13-17, 2010, Part II [Dokument elektroniczny] / eds. Leszek Rutkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada. – Berlin : Springer-Verlag Berlin Heidelberg, 2010. – (Lecture Notes in Artificial Intelligence ; 6114). – S. 500-507 : tab., wykr. – Tryb dostępu: https://link.springer.com/content/pdf/10.1007/978-3-642-13232-2.pdf. – Bibliogr. 15 poz., Abstr. – ISSN 0302-9743. – ISBN 978-3-642-13231-5

Multiobjective optimization problems have been solved in recent years by several researchers using different kind of algorithms, among them genetic and evolutionary algorithms and artificial immune systems. ... więcej

Multiobjective optimization problems have been solved in recent years by several researchers using different kind of algorithms, among them genetic and evolutionary algorithms and artificial immune systems. The results obtained during these tests were satisfactory, but these researchers observed that there still is a need for new ideas for algorithms which will increase efficiency and at the same time decrease the computational effort. In this paper the idea of coupling of immune algorithms with game theory is presented. The authors take out the most important elements from the artificial immune system, such as clonal selection and suppression, and couple them with the idea of Nash equilibrium. The new approach and some preliminary tests and results are presented here.