Artificial Neural Network And New Mathematical Approach To Solve MutiObjective Linear Fractional Programming Problem
[Full Text]
AUTHOR(S)
Khaled Elsharkawy
KEYWORDS
MultiObjective Linear Programming (MOLP), MultiObjective linear fractional Programming (MOLFP), Artificial Neural Networks (ANN).
ABSTRACT
A new algorithm based on revised simplex method is designed to solve multiple objectives linear fractional programming (MOLFP), we put a condition for the feasible solution to be efficient that is at every iteration we check if each feasible point is efficient or not. Our algorithm can be used to convert the multiobjective linear fractional programming problem into linear programming problem and hence solving it. A simple example is given to illustrate the theory of the proposed algorithm and a suggestion to the solution using artificial neural network.
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