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DC Field | Value | Language |
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dc.contributor.author | Maheswari, A. | - |
dc.contributor.author | Karthikeyan, S. | - |
dc.contributor.author | Palanivelrajan, M. | - |
dc.date.accessioned | 2024-09-24T08:37:39Z | - |
dc.date.available | 2024-09-24T08:37:39Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Maheswari, A.; Karthikeyan, S.; Palanivelrajan, M.: PSO and GA based intuitionistic fuzzy optimization problems. Timişoara: Editura Politehnica, 2020. | en_US |
dc.identifier.issn | 1582-4594 | - |
dc.identifier.uri | https://dspace.upt.ro/xmlui/handle/123456789/6664 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Timișoara : Editura Politehnica | en_US |
dc.relation.ispartofseries | Journal of Electrical Engineering;Vol 20 No 1 | - |
dc.subject | Intuitionistic Fuzzy set | en_US |
dc.subject | Decision making | en_US |
dc.subject | Intuitionistic fuzzy optimization | en_US |
dc.subject | Genetic Algorithm | en_US |
dc.subject | Particle Swarm Optimization | en_US |
dc.title | PSO and GA based intuitionistic fuzzy optimization problems [articol] | en_US |
dc.type | Article | en_US |
Appears in Collections: | Articole științifice/Scientific articles |
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File | Description | Size | Format | |
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BUPT_ART_Maheswari_f.pdf | 289.07 kB | Adobe PDF | View/Open |
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