Abstract
Many problems in operations research, engineering, and economics require that several objectives be maximized simultaneously. It is well known that ‘maximizing’ the vector whose components are these objectives can yield more solutions than maximizing one linear combination of the objectives. Kuhn and Tucker (Kuhn, H. W., A. W. Tucker. 1951. Nonlinear programming. Proc. Second Berkeley Symp. on Math. Stat. and Prob. University of California Press, Berkeley, Calif. 1951.) discuss the vector maximum problem and derive necessary and sufficient conditions for a vector x0 to be a proper solution. However, their basic paper presents only a definition of ‘proper’ and a particular vector maximum problem for which an ‘improper’ solution has an undesirable property. The purpose of this note is to show that all ‘improper’ solutions have this undesirable property, thus justifying the calculation of only the ‘proper’ solutions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.