A Mathematical Model for Nonlinear Optimization Which Attempts Membership Functions to Address the Uncertainties

The problem of optimizing an objective function that exists within the constraints of equality and inequality is addressed by nonlinear programming (NLP). A linear program exists if all of the functions are linear; otherwise, the problem is referred to as a nonlinear program. The development of high...

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Vydané v:	Mathematics (Basel) Ročník 10; číslo 10; s. 1743
Hlavní autori:	Kaliyaperumal, Palanivel, Das, Amrit
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.05.2022
Predmet:	Algorithms Decision making fuzzy nonlinear programming problem fuzzy numbers Fuzzy sets Genetic algorithms Integer programming Lagrangian multiplier method in terms of fuzziness Linear programming Mathematical analysis Mathematical models nonlinear optimization Nonlinear programming Nonlinearity Optimization Optimization algorithms Optimization techniques Performance evaluation Problem solving ranking index Robustness (mathematics) Software trapezoidal membership functions Uncertainty
ISSN:	2227-7390, 2227-7390
On-line prístup:	Získať plný text
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