Abstract
The purpose of this paper is to present a new concept in and algorithm for multiobjective linear fractional programming (MOLFP). The new algorithm integrates the constraint (CON) and noninferior set estimation (NISE) methods, and is termed the CONNISE algorithm. The paper first discusses some issues of the MOLFP algorithms developed by Kornbluth and Steuer (1981) and by Nykowski and Zolkiewski (1985). Second, the mathematical form and iterating process of the CONNISE algorithm are elaborated on. Finally, a numerical example with two linear fractional objective functions is presented to demonstrate the new algorithm’s application. Suggestions for further research are also given.
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Reference
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© 1994 Springer-Verlag New York, Inc.
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Tzeng, L.YR., Hsu, G.J.Y. (1994). A New Algorithm for Solving Multiobjective Linear Fractional Programming: The CONNISE Method. In: Tzeng, G.H., Wang, H.F., Wen, U.P., Yu, P.L. (eds) Multiple Criteria Decision Making. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2666-6_16
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DOI: https://doi.org/10.1007/978-1-4612-2666-6_16
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