2. Related concepts Regarding to ILP, the following three concepts are really importan: The first one is the generalized simplex method. It will be used to search the optimum solution in LP problems. This method moves solution from one extreme point to another in order to find the optimum one, secondly, duality concept and its will be introduced. It could change the characteristics of the problems and interchange the number of variables and constraints. Finally, we will describe the B&B algorithm. It has been the significant algorithm to solve problems until now. Our proposed method is actually revised from the original B&B procedure. 2.1. Generalized simplex method The simplex method has been very successful in solving LP problems[10.11) It was invented by George B Dantzig in the summer of 1947. The first significant application is that Laderman solved a dict-planning prob- lem with nine equality constraints and 27 non-negative variables[121 Before the simplex method can be used to solve a LP problem, the constraint set must be converted into the equivalent form in which all constraints are equations and all variables are non negative. This is the so-called standard form In order to convert into standard form, each inequality constraint must be replaced by an equality constraint. If the ith constraint of the problem set is s, convert it to an equality by adding a slack the ith constraint and adding another restriction 0. In contrast to this, the th constraint of the problem set is it will be converted to an equality constraint by an excess variable to the Jth constraint and adding another restriction 0. consider the problem in standard form(see[8) for more details maximize