Solving multi-choice linear programming problems by interpolating polynomials

Multi-choice programming solves some optimization problems where multiple information exists for a parameter. The aim of this paper is to select an appropriate parameter from a set of multiple choices, which optimizes the objective function. We consider a linear programming problem where the right h...

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Veröffentlicht in:	Mathematical and computer modelling Jg. 54; H. 5; S. 1405 - 1412
Hauptverfasser:	Biswal, M.P., Acharya, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.09.2011 Elsevier
Schlagworte:	computer software Exact sciences and technology Interpolating polynomial Linear programming Mathematical analysis Mathematics Methods of scientific computing (including symbolic computation, algebraic computation) Mixed integer programming Multi-choice programming Nonlinear programming Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming Numerical methods in mathematical programming, optimization and calculus of variations Sciences and techniques of general use Multi-choice programming Linear programming Mixed integer programming Nonlinear programming Interpolating polynomial Polynomial Optimization method Nonlinear problems Non linear programming Integer Integer programming Numerical analysis Applied mathematics Software Mixed problem Mathematical model Computer aided analysis Mathematical programming
ISSN:	0895-7177, 1872-9479
Online-Zugang:	Volltext
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