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Abstract Historically, scientists and economists have been interested in optimization problems, problems which seek to maximize or minimize a numerical function of a number of”variables. Optimization problems occured primarily in the physical sciences and geomtry ~ and the classical optimization techniques, such as differential calculus of variations, were developed to deal with them. A new class of optimization problems has since become of considerable interest, consisting of problems dealing with the optimum allocation of limited resources. These are programming problems, and their solution involves a program of action, or a strategy. One seeks the optimum program or best strategy available within the imposed limitations. Such a program may involve men, machines, material, land, or financial assets, all of which contribute to the production of one or more items. As optimization techniques have developed, a gap has arisen between the people devising the methods and the people who actually need to use them. Research into methods is necessarily long-term and located usually in academic establishments; whereas the application of an optimization technique, normally located in an industrial environment ; has to be justified financially in the short-term. The gap is probably inevitable, but it could be reduced by increasing trials to apply the optimization techniques on different fields of applications. The successful application of an optimization technique - requires, first, the recognition and formulation of an optimization |