Amidst uncertainty, decision-making in manufacturing becomes a central focus due to its
complexity. This study explores complex transportation constraints and uses novel ways to …

In real life situations, it is difficult to handle multi-objective linear fractional stochastic
transportation problem. It can't be solved directly using mathematical programming …

The paper presents the solution methodology of a multi-objective probabilistic fractional
programming problem, where the parameters of the right hand side constraints follow …

This paper presents a novel application of metaheuristic algorithms for solving stochastic
programming problems using a recently developed gaining sharing knowledge based …

Probabilistic or Stochastic programming is a framework for modeling optimization problems
that involve uncertainty. The basic idea used in solving stochastic optimization problems has …

In real-life situations, we human beings faced with multi-objective problems that are
conflicting and non-commensurable with each other. Especially, when goods are …

Stochastic (or probabilistic) programming (SP) is an optimization technique in which the
constraints and/or the objective function of an optimization problem contain random …

The field of chance constrained fractional programming (CCFP) has grown into a huge area
over the last few years because of its applications in real life problems. Therefore, finding a …

This paper presents a procedure to solve a chance constraint programming problem with
sum-of-fractional objectives. The problem and the solution procedure are described with the …

This paper presents an application of Water Cycle algorithm (WCA) in solving stochastic
programming problems. In particular, Linear stochastic fractional programming problems are …