DocumentCode
2221344
Title
A new evolutionary approach to minimax problems
Author
Lung, Rodica Ioana ; Dumitrescu, D.
Author_Institution
Fac. of Econ. & Bus. Adm, Babes-Bolyai Univ. of Cluj Napoca, Cluj-Napoca, Romania
fYear
2011
fDate
5-8 June 2011
Firstpage
1902
Lastpage
1905
Abstract
Minimax or worst-case optimization is concerned with the minimization of the maximum output in all scenarios of a given problem. The minimax problem can be transformed in a two players zero-sum game considering the fact that the Nash equilibria of this game would represent the solution of the original problem. Using the Nash ascendancy relation the equilibria of the game can be directly computed using a differential evolution algorithm. Results obtained by using this approach are compared with best known results from literature on six minimax benchmark problems.
Keywords
evolutionary computation; game theory; minimax techniques; minimisation; Nash ascendancy relation; Nash equilibria; differential evolution algorithm; evolutionary approach; minimax problems; two players zero-sum game; worst-case optimization; Approximation algorithms; Benchmark testing; Evolutionary computation; Game theory; Games; Optimization; Search problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location
New Orleans, LA
ISSN
Pending
Print_ISBN
978-1-4244-7834-7
Type
conf
DOI
10.1109/CEC.2011.5949847
Filename
5949847
Link To Document