DocumentCode :
2752630
Title :
Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem
Author :
Statnikov, Roman ; Anil, Kivanc Ali ; Bordetsky, Alex ; Statnikov, Alexander
Author_Institution :
Dept. of Inf. Sci., Naval Postgraduate Sch., Monterey, CA
fYear :
2007
fDate :
1-5 April 2007
Firstpage :
341
Lastpage :
347
Abstract :
One of the basic engineering optimization problems is the problem of improving a prototype. This problem is constantly encountered by industrial and academic organizations that produce and design various objects (e.g., motor vehicles, machine tools, ships, and aircraft). This paper presents an approach for improving a prototype by construction of the feasible and Pareto sets while performing multicriteria analysis. We introduce visualization methods that facilitate constructing the feasible and Pareto sets. Using these techniques, an expert can correctly state and solve the problem under consideration in a series of dialogs with the computer. Finally, we present a case study of applying these methods to a problem of improving a prototype of the ship
Keywords :
Pareto optimisation; data visualisation; engineering computing; operations research; set theory; Pareto sets; engineering optimization problems; multicriteria analysis; prototype improvement problem; visualization tools; Aerospace engineering; Aerospace industry; Automotive engineering; Construction industry; Design engineering; Machine tools; Marine vehicles; Prototypes; Shipbuilding industry; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0702-8
Type :
conf
DOI :
10.1109/MCDM.2007.369111
Filename :
4223026
Link To Document :
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