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A Decision Support System for Solving Multiple Criteria Optimization Problems
- Source :
-
Informatics in Education . 2011 10(2):213-224. - Publication Year :
- 2011
-
Abstract
- In this paper, multiple criteria optimization has been investigated. A new decision support system (DSS) has been developed for interactive solving of multiple criteria optimization problems (MOPs). The weighted-sum (WS) approach is implemented to solve the MOPs. The MOPs are solved by selecting different weight coefficient values for the criteria and solving single-criterion optimization problems (SOPs). However, the WS approach does not guarantee either finding evenly distributed solutions of a Pareto front, or finding Pareto optimal solutions in non-convex regions. In order to solve the problems, some methods have been proposed. In this paper, an adaptive weighted-sum (AWS) approach has been used. We suggest presenting the solutions, obtained not only by the weighted-sum method, but also by the adaptive weighted-sum approach, to a decision maker (DM). Thus the decision making will be facilitated.
Details
- Language :
- English
- ISSN :
- 1648-5831
- Volume :
- 10
- Issue :
- 2
- Database :
- ERIC
- Journal :
- Informatics in Education
- Publication Type :
- Academic Journal
- Accession number :
- EJ1064346
- Document Type :
- Journal Articles<br />Reports - Descriptive