Paper
Sequential linear goal programming: Implementation via MPSX

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Abstract

This paper presents the actual results obtained when a traditional linear programming computer code is used sequentially so as to solve the linear goal programming problem. The approach, denoted as Sequential Linear Goal Programming (SLGP), was implemented by incorporating the IBM linear programming code known as MPSX. The results obtained, the advantages and drawbacks, as well as a comparison with an alternate linear goal programming code, are also described.

References (6)

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    Goal Programming and Extensions

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    A review of goal programming: A tool for multi-objective analysis

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Dr. James P. Ignizio received a B.S.E.E. from the University of Akron, a M.S.E. from the University of Alabama and a Ph.D. in Operations Research and Industrial Engineering from Virginia Polytechnic Institute. He is now a member of the faculty of the Department of Industrial and Management Systems Engineering at the Pennsylvania State University. Dr. Ignizio is the author of three textbooks in the Operations Research area and of numerous technical publications. His primary areas of research interests are in Multiobjective Optimization and Large-Scale Systems.

John H. Perlis recently received a M.S.I.E. from the Pennsylvania State University. Mr. Perils is presently a member of the technical staff at Analytic Services, Inc. in Arlington, Virginia.

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