Abstract
This paper uses one variant of Karmarkar’s interior point linear programming algorithm and modifies it for addressing multiple objective linear programming (MOLP) problems. Specifically, the paper considers the modification of the affine-scaling primal algorithm and develops a procedure for generating search directions that are interior to the polytope formed by the constraints of the linear programming problem. These search directions are combined into a single direction that approximates the gradient of an implicitly-known utility function at the current — interior — solution point. The solution process is comprised of a sequence of steps where search direction are generated and later combined to arrive at the next interior iterate.
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