Paper Info
Title
Coupling of immune algorithms and game theory in multiobjective optimization
Abstract
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.
Year
DOI
Venue
2010
10.1007/978-3-642-13232-2_61
ICAISC (2)
Keywords
Field
DocType
multiobjective optimization problem,nash equilibrium,computational effort,artificial immune system,immune algorithm,evolutionary algorithm,different kind,new idea,new approach,multiobjective optimization,clonal selection,game theory,genetics
Artificial immune system,Mathematical optimization,Coupling,Evolutionary algorithm,Computer science,Algorithm,Multi-objective optimization,Game theory,Artificial intelligence,Multiobjective optimization problem,Nash equilibrium,Clonal selection
Conference
Volume
ISSN
ISBN
6114
0302-9743
3-642-13231-6
Citations 
PageRank 
References 
2
0.42
7
Authors
2
Name
Order
Citations
PageRank
Pawel Jarosz130.80
Tadeusz Burczynski2336.69