Title :
Possibilistic optimization problems with mutually t-related parameters
Author :
Soldatenko, I.S. ; Yazenin, A.V.
Author_Institution :
Dept. of Inf. Technol., Tver State Univ., Tver
Abstract :
This paper investigates a possibilistic optimization problem where the parameters are mutually t-related (interactive). An indirect solution based on the construction of an equivalent crisp analogue is proposed. A genetic algorithm method is used to solve this crisp equivalent. Illustrative numerical examples are included.
Keywords :
genetic algorithms; possibility theory; crisp equivalent; genetic algorithm; mutually t-related parameters; possibilistic optimization problems; Calculus; Concrete; Context modeling; Fuzzy sets; Genetic algorithms; Information technology; Optimization methods; Shape; Space technology; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Electronic_ISBN :
978-1-4244-2352-1
DOI :
10.1109/NAFIPS.2008.4531249
