A nonlinear interval number programming method for uncertain optimization problems

In this paper, a method is suggested to solve the nonlinear interval number programming problem with uncertain coefficients both in nonlinear objective function and nonlinear constraints. Based on an order relation of interval number, the uncertain objective function is transformed into two determin...

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Vydané v:	European journal of operational research Ročník 188; číslo 1; s. 1 - 13
Hlavní autori:	Jiang, C., Han, X., Liu, G.R., Liu, G.P.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.07.2008 Elsevier Elsevier Sequoia S.A
Edícia:	European Journal of Operational Research
Predmet:	Applied sciences Exact sciences and technology Genetic algorithm Genetic algorithms Inequality Interval number Nonlinear programming Operational research and scientific management Operational research. Management science Optimization Studies Uncertain optimization Uncertainty Uncertain optimization Nonlinear programming Genetic algorithm Interval number Probabilistic approach Non linear programming Penalty method Non determinism Constrained optimization Penalty function Uncertain system Linear combination Inequality constraint Equality constraint Robustness Objective function
ISSN:	0377-2217, 1872-6860
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