Operations Research (OR) is concerned with optimal decision making in, and modeling of, deterministic and probabilistic systems that originate from real life. These applications, which occur in government, business, engineering, economics, and the natural and social sciences, are characterized largely by the need to allocate limited resources. The contribution from OR stems primarily from :structuring the real-life situation into a mathematical model, abstracting the essential elements so that a solution relevant to the decision maker's objectives can be sought. Almost any problem can be reduced in the final analysis determine the largest or smallest value of a function of several variables. Since optimization is the collective process of finding the set of conditions required to achieve the best result from a given situation. Typical OR techniques include linear and nonlinear programming, optimization models, combinatorial optimization, multi-objective decision making, and Markov analysis. Also, OR is often associated with Management Sciences and Industrial Engineering [1]. This paper presents the multi-objective optimization model that uses a lot of objectives and constrains to optimize the building of classes for illiteracy students in a city. This paper generates a Multi-objective optimization model to determine the optimal locations for building classes for illiteracy in a city