Please use this identifier to cite or link to this item:
https://dspace.upt.ro/xmlui/handle/123456789/6664
Title: | PSO and GA based intuitionistic fuzzy optimization problems [articol] |
Authors: | Maheswari, A. Karthikeyan, S. Palanivelrajan, M. |
Subjects: | Intuitionistic Fuzzy set Decision making Intuitionistic fuzzy optimization Genetic Algorithm Particle Swarm Optimization |
Issue Date: | 2020 |
Publisher: | Timișoara : Editura Politehnica |
Citation: | Maheswari, A.; Karthikeyan, S.; Palanivelrajan, M.: PSO and GA based intuitionistic fuzzy optimization problems. Timişoara: Editura Politehnica, 2020. |
Series/Report no.: | Journal of Electrical Engineering;Vol 20 No 1 |
Abstract: | Linear programming techniques are widely used to solve a number of business, industrial, military, economic, decision making, marketing and advertising problems and optimization plays an important role in Linear programming. In decision making, the decision maker can not decide and choose a best alternative without optimization. In this paper a linear programming problem is constructed in decision making and then Genetic Algorithm & Particle Swarm Optimization are applied to find the optimal solution through which we can have the better results. |
URI: | https://dspace.upt.ro/xmlui/handle/123456789/6664 |
ISSN: | 1582-4594 |
Appears in Collections: | Articole științifice/Scientific articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BUPT_ART_Maheswari_f.pdf | 289.07 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.