Approaches for some special classes of stochastic optimization problems

Abstract

This research work is an attempt to study efficient ways of solving newlinesome special classes of stochastic optimization problems The research newlineconcerns the development of few improved redundancy algorithms and the newlinedevelopment of stochastic simulation based Genetic Algorithms GAs for newlinesolving these stochastic optimization problems newlineDetection of redundant constraintsvariables andor objective newlinefunctions is important in mathematical programming models of all kinds newlineAlthough the presence of such redundancy does not alter the optimal solution newlineof a given problem yet it increases the computational complexity newline newline