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

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