Abstract
A number of real life problems have multiple objectives and constraints that are truly nonlinear in nature. Many efficient interactive algorithms have been proposed to solve these problems. These procedures differ in the philosophy/approach they follow. Even within a given philosophy/approach, the algorithms differ in several details. In this paper, our objective is to give an overview of some of the available algorithms.
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Narula, S.C., Weistroffer, H.R. (1989). Algorithms for Multi-Objective Nonlinear Programming Problems: An Overview. In: Lockett, A.G., Islei, G. (eds) Improving Decision Making in Organisations. Lecture Notes in Economics and Mathematical Systems, vol 335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-49298-3_40
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DOI: https://doi.org/10.1007/978-3-642-49298-3_40
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