Stochastic programming is a framework for modeling optimization problems that involve uncertainty. Unlike deterministic optimization problems, where all parameters are known with certainty, stochastic ...
ABSTRACT: The economic emission dispatch (EED) problem minimizes two competing objective functions, fuel cost and emission, while satisfying several equality and inequality constraints. Since the ...
ABSTRACT: The study deals with the multi-choice mathematical programming problem, where the right hand side of the constraints is multi-choice in nature. However, the problem of multi-choice linear ...
This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...
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