Abstract
The topic of numerical methods in multicriteria optimization lends itself to many interpretations, and, of course, much has been written on the subject. This chapter will not be a survey of the numerical techniques of multicriteria optimization (MCO). Those interested in such a work should see, for example, the book of Hwang and Masud (Ref. 1). Nor will this chapter contain comparisons of the numerical efficiency of a variety of MCO algorithms. Instead, this work will be on my views and experience in numerically analyzing “real” linear MCO problems and the mathematics necessary for such an analysis. Of course, “real” means MCO problems as I have encountered them in applications. Imaginary (or unreal) must therefore refer to all the rest.
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Dauer, J.P. (1988). Numerically Analyzing Linear Multicriteria Optimization Problems. In: Stadler, W. (eds) Multicriteria Optimization in Engineering and in the Sciences. Mathematical Concepts and Methods in Science and Engineering, vol 37. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3734-6_2
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DOI: https://doi.org/10.1007/978-1-4899-3734-6_2
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