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2020-10-28

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Vasanthi, R., Sivasankari, B., Selvi, R.P., 2020. Generalization of multi-level programming technique - A brief description. Biotica Research Today 2(10), 1065-1067.

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HOME / ARCHIVES / Vol. 2 No. 10 : October (2020) / Popular Article

Generalization of Multi-Level Programming Technique - A Brief Description

R. Vasanthi*

Dept. of Physical Sciences & IT, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu (641 003), India

B. Sivasankari

Dept. of Agricultural Economics, Agricultural College and Research Institute, Madurai, Tamil Nadu (625 104), India

R. Pangayar Selvi

Dept. of Social Sciences, Agricultural College and Research Institute, Killikulam, Tamil Nadu (628 252), India

DOI: NIL

Keywords: Mathematical Programming, Multilevel Programming, Optimization, Simplex Algorithm

Abstract


The separation of policy problems into two components has long been accepted as a rational approach. Multilevel programming is applicable in those cases in which a mathematical programming model describes the implicit behavioral set. It encompasses multiple levels of optimization, multilevel programming constitute a generalization of mathematical programming. The algorithm handles two objective functions simultaneous in sequence of steps similar to those used in simplex algorithm.

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Dantzig, G. B., and P. Wolfe, 1961. “The decomposition principle for Linear programs.” Econometrica, October, 1961.

Malinvaud, E., 1967. “Decentralized Procedures for planning.” Ch.7 in E. Malinvaud and M.O.L. Bacharach, eds., Activity analysis in the theory of growth and planning, Macmillan, London, 1967.

Theil, H., 1961. “Economic Forecasts and Policy.” Ch.7, North-Holland publishing company, Amsterdam, 1961.