A taxonomy and review of the multi-objective fractional programming (MOFP) problems

D Bhati, P Singh, R Arya - International Journal of Applied and …, 2017 - Springer
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 …

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 …

[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 …

Literature Review: Global Criticality Assessment Based on Feature Surrogates at the PCBA Levels

Q Yu, VG Kamble, DP Gruber, PF Fuchs… - … and Multi-Physics …, 2024 - ieeexplore.ieee.org
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 …

Multi-objective probabilistic fractional programming problem involving two parameters Cauchy distribution

S Acharya, B Belay, R Mishra - Mathematical Modelling and …, 2019 - journals.vilniustech.lt
The paper presents the solution methodology of a multi-objective probabilistic fractional
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 …

Application of multi-objective probabilistic fractional programming problem in production planning

B Belay, S Acharya, R Mishra - International Journal of …, 2022 - inderscienceonline.com
This paper presents the application of multi-objective probabilistic fractional programming
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 …

[PDF][PDF] Solving multi-objective linear fractional stochastic transportation problems involving normal distribution using simulation-based genetic algorithm

AA Gessesse, R Mishra, MM Acharya - International Journal of …, 2019 - academia.edu
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 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 …