In this paper, we present additive algorithm for solving a class of 0-1 integer linear fractional programming problems (0-1 ILFP) where all the coefficients at the numerator of the objective function are of same sign. The process is analogous to the process of solving 0-1 integer linear programming (0-1 ILP) problem but the condition of fathoming the partial feasible solution is different from that of 0-1 ILP. The procedure has been illustrated by two examples.

The paper considers a class of optimization problems known as extreme point mathematical programming problems. The objective of this paper is to improve the established methods for solving extreme point linear and linear fractional programming problems. To overcome the cumbersome and time consuming procedures of these existing methods, we propose an alternative algorithm to solve such types of problems which is simple and need less computational effort. Two simple examples are given to elucidate our proposed algorithm.

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