A taxonomy and review of the multi-objective fractional programming (MOFP) problems
Optimizing the ratios within the constraints is called fractional programming or ratio
optimization problem. If one can optimize several ratios objectives simultaneously, then it is …
optimization problem. If one can optimize several ratios objectives simultaneously, then it is …
Measuring the efficiency of assembled printed circuit boards with undesirable outputs using data envelopment analysis
V Charles, M Kumar, SI Kavitha - International Journal of Production …, 2012 - Elsevier
The printed circuit board (PCB) assembling production process is generally optimized to
ensure very low levels of errors (defects) so as to produce the higher quality product. The …
ensure very low levels of errors (defects) so as to produce the higher quality product. The …
[PDF][PDF] A seventh bibliography of fractional programming
IM Stancu-Minasian - Adv. Model. Optim, 2013 - camo.ici.ro
This paper lists in alphabetical order by the name of the first author, 745 papers dealing with
fractional programming and its applications. This covers mainly the period 2005-2012 but it …
fractional programming and its applications. This covers mainly the period 2005-2012 but it …
Literature Review: Global Criticality Assessment Based on Feature Surrogates at the PCBA Levels
Reliability testing is essential in the PCBA (Printed Circuit Board Assembly) manufacturing
process since it helps to identify potential issues before they become significant in the future …
process since it helps to identify potential issues before they become significant in the future …
Multi-objective probabilistic fractional programming problem involving two parameters Cauchy distribution
The paper presents the solution methodology of a multi-objective probabilistic fractional
programming problem, where the parameters of the right hand side constraints follow …
programming problem, where the parameters of the right hand side constraints follow …
[PDF][PDF] Multi-objective stochastic linear programming with general form of distributions
V Charles, SI Ansari, MM Khalid - Int J Oper Res Optim, 2011 - researchgate.net
Probabilistic or Stochastic programming is a framework for modeling optimization problems
that involve uncertainty. The basic idea used in solving stochastic optimization problems has …
that involve uncertainty. The basic idea used in solving stochastic optimization problems has …
Application of multi-objective probabilistic fractional programming problem in production planning
This paper presents the application of multi-objective probabilistic fractional programming
problem in production planning. The production planning model for a manufacturing …
problem in production planning. The production planning model for a manufacturing …
Stochastic fractional programming approach to a mean and variance model of a transportation problem
V Charles, VSS Yadavalli, MCL Rao… - Mathematical …, 2011 - Wiley Online Library
In this paper, we propose a stochastic programming model, which considers a ratio of two
nonlinear functions and probabilistic constraints. In the former, only expected model has …
nonlinear functions and probabilistic constraints. In the former, only expected model has …
[PDF][PDF] Solving multi-objective linear fractional stochastic transportation problems involving normal distribution using simulation-based genetic algorithm
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 …
conflicting and non-commensurable with each other. Especially, when goods are …
Stochastic simulation-based genetic algorithm for chance constrained fractional programming problem
A Udhayakumar, V Charles… - International Journal of …, 2010 - inderscienceonline.com
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 …
over the last few years because of its applications in real life problems. Therefore, finding a …