Solving nonlinear multi-objective optimization problems with fuzzy relation inequality constraints regarding Archimedean triangular norm compositions

We propose an approach to solve a nonlinear multi-objective problem subject to fuzzy relation inequalities with max-Archimedean-t-norm composition by a genetic algorithm. The additive generator of Archimedean t-norms is utilized to reform the existent genetic algorithm to solve the constrained nonli...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Fuzzy optimization and decision making Ročník 11; číslo 3; s. 299 - 335
Hlavní autori:	Khorram, E., Ezzati, R., Valizadeh, Z.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2012 Springer Science + Business Media B.V Springer Nature B.V
Predmet:	Artificial Intelligence Calculus of Variations and Optimal Control; Optimization Decision making Fuzzy Fuzzy logic Fuzzy set theory Fuzzy sets Generators Genetic algorithms Inequalities Integer programming Linear programming Mathematical Logic and Foundations Mathematical models Mathematical programming Mathematics Mathematics and Statistics Methods Nonlinearity Norms Operations Research/Decision Theory Optimization Pareto optimum Probability Theory and Stochastic Processes Studies Efficient solutions Multi-objective optimization Archimedean t-norm Fuzzy relation inequality Genetic algorithms
ISSN:	1568-4539, 1573-2908
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!