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Regular version of the site

All-Moscow scientific seminar "Mathematical Methods of Decision Analysis in Economics, Business and Politics".

On December 15 (Wednesday), 2021, a regular meeting of the all-Moscow scientific seminar "Mathematical Methods of Decision Analysis in Economics, Business and Politics" took place at the National Research University "Higher School of Economics".

Seminar leaders:
Doctor of Technical Sciences, prof. Fuad Tagievich Aleskerov,
Doctor of Technical Sciences, prof. Podinovsky Vladislav Vladimirovich,
Doctor of Technical Sciences, prof. Mirkin Boris Grigorievich.

Theme: Fuzzy Stochastic Programming Problems
Speaker: Sanjay Dutta (HSE University)
Annotation:
Fuzzy Stochastic programming is a mathematical model which deals with uncertain parameters To solve optimization problem under uncertainty, fuzzy stochastic programming proves more fruitful as it handles both impreciseness and uncertainty together. Genetic algorithm(GA) is one of the promising algorithm among evolutionary algorithms to solve different types of optimization problems GA is used to check the feasibilities of the fuzzy chance constraints by the fuzzy stochastic programming with the genetic process without deriving the deterministic equivalents.