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dc.creatorWOODS, DANIEL JOHN
dc.date.accessioned 2007-05-09T19:40:17Z
dc.date.available 2007-05-09T19:40:17Z
dc.date.issued 1985
dc.identifier.urihttps://hdl.handle.net/1911/15945
dc.description.abstract Multi-objective optimization problems are characterized by the need to consider multiple, and possibly conflicting, objectives in the solution process. We present an approach based on the use of interactive computer graphics to obtain qualitative information from a user about approximate solutions. We then use this qualitative information to transform the multi-objective optimization problem into a single-objective optimization problem that we may solve using standard techniques. Preliminary convergence results for the Nelder-Mead simplex algorithm are presented. Techniques for updating the single-objective problem after each piece of information is obtained from the user are described. These techniques are based on the duality theory for linear and quadratic programming. A software system for the subclass of 1-dimensional curve-fitting problems is also described.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectOperations research
dc.title AN INTERACTIVE APPROACH FOR SOLVING MULTI-OBJECTIVE OPTIMIZATION PROBLEMS (INTERACTIVE COMPUTER, NELDER-MEAD SIMPLEX ALGORITHM, GRAPHICS)
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Operations Research
thesis.degree.discipline Natural Sciences
thesis.degree.grantor Rice University
thesis.degree.level Doctoral
thesis.degree.name Doctor of Philosophy
dc.identifier.citation WOODS, DANIEL JOHN. "AN INTERACTIVE APPROACH FOR SOLVING MULTI-OBJECTIVE OPTIMIZATION PROBLEMS (INTERACTIVE COMPUTER, NELDER-MEAD SIMPLEX ALGORITHM, GRAPHICS)." (1985) Diss., Rice University. https://hdl.handle.net/1911/15945.


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