6th Symposium on Multidisciplinary Analysis and Optimization

Abdon E. Sepulveda, Hector Jensen

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

© 1996 by A.E. Sepulveda and H. Jensen. The paper presents a methodology for the efficient solution of fuzzy optimization problems. Design variables, as well as problem parameters arc modeled as fuzzy numbers characterized by membership functions. An optimization approach based on approximation concepts is introduced. High quality approximations for system response functions are constructed using the concepts of intermediate response quantities and intermediate variables. These approximations are used to replace the solution of the original problem by a sequence of approximate problems. Optimization techniques for non-differentiable problems which arise in fuzzy optimization are used to solve the approximate optimization problems. Example problems are presented to illustrate the ideas set forth.
Original languageEnglish
Pages1743-1751
Number of pages9
Publication statusPublished - 1 Jan 1996
Eventconference -
Duration: 1 Jan 1996 → …

Conference

Conferenceconference
Period1/01/96 → …

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