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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Veröffentlicht in:	European journal of operational research Jg. 188; H. 1; S. 1 - 13
Hauptverfasser:	Jiang, C., Han, X., Liu, G.R., Liu, G.P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.07.2008 Elsevier Elsevier Sequoia S.A
Schriftenreihe:	European Journal of Operational Research
Schlagworte:	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
Online-Zugang:	Volltext
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