Abstract
Goal programming (GP) is an important class of multi-criteria decision models widely used to analyze and solve applied problems involving conflicting objectives. Originally introduced in the 1950s by Charnes et al. (Manag Sci 2:138–151, 1955) the popularity and applications of GP has increased immensely due to the mathematical simplicity and modeling elegance. Over the recent decades algorithmic developments and computational improvements have greatly contributed to the diverse applications and several variants of GP models. In this paper we present a state of the art literature review on GP applications in three selected (prominent and popular) areas, namely engineering, management and social sciences.
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This work was supported by funding from Office of Research Support, Internal Research Fund (KUIRF) - Grant number 210032, Khalifa University. This work has been carried out and completed during research visits of Cinzia Colapinto at Khalifa University.
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Colapinto, C., Jayaraman, R. & Marsiglio, S. Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review. Ann Oper Res 251, 7–40 (2017). https://doi.org/10.1007/s10479-015-1829-1
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DOI: https://doi.org/10.1007/s10479-015-1829-1