Multicriteria analysis tools in real-life problems
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Authors
Statnikov, R
Bordetsky, A.
Statnikov, A.
Yanushkevich, I.
Subjects
parameter space investigation (PSI)
multicriteria analysis
uniformly distributed sequences
feasible solution set
multicriteria analysis
uniformly distributed sequences
feasible solution set
Advisors
Date of Issue
2006
Date
Publisher
Elsevier
Language
Abstract
Applied optimization problems such as design, identification, design of controlled systems, operational development of prototypes, analysis of large-scale systems, and forecasting from observational data are multicriteria problems in essence. Construction of the feasible solution set is of primary importance in the above problems. The definition of a feasible solution is usually considered to be the skill of a designer. Even though this skill is essential, it is by no means sufficient for the correct statement of the problem. There are many antagonistic performance criteria and all kinds of constraints in these problems; therefore, it is quite difficult to correctly determine the feasible set. As a result, ill-posed problems are solved, and optimal colutions are reached for far from where they should be. As a consequence, the optimization results have no practical meaning. In this work we propose methods and tools that will assist the designer in defining the feasible solution set correctly.
Type
Article
Series/Report No
Department
Information Science
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funding
Format
Citation
Computers and Mathematics with Applications, 52, (2006), pp. 1-32
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.