JOURNAL ARTICLE

On solving possibilistic multi- objective De Novo linear programming

Abstract

Multi-objective De Novo linear programming (MODNLP) is problem for designing optimal system by reshaping the feasible set (Fiala [3] ). This paper deals with MODNLP having possibilistic objective functions coefficients. The problem is considered by inserting possibilistic data in the objective functions coefficients. The solution of the problem is defined and established under the using of efficient and necessary condition. Also, the relation between possibilistic levels corresponding to the solution is constructed. A solution procedure for solving the problem is proposed. A numerical example is given for illustration.

Keywords:
Mathematics Mathematical optimization Relation (database) Linear programming Set (abstract data type) Solution set Semi-infinite programming Computer science Data mining

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Citation History

Topics

Optimization and Mathematical Programming
Physical Sciences →  Engineering →  Control and Systems Engineering

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