Urmila M. Diwekar - researchr alias

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Viewing Publication 1 - 31 from 31

2024

An Enhanced Particle Swarm Optimization (PSO) Algorithm Employing Quasi-Random NumbersShiva Kumar Kannan, Urmila M. Diwekar. algorithms, 17(5):195, May 2024. [doi]

2023

An Efficient Reinforcement Learning Approach to Optimal Control with Application to Biodiesel ProductionShiam Kannan, Urmila M. Diwekar. cce, 174:108258, June 2023. [doi]

2022

in vitro fertilization procedure using modeling and optimal controlApoorva Nisal, Urmila M. Diwekar, Elie Hobeika. cce, 156:107554, 2022. [doi]

2020

Modeling, simulation and optimization of combined fractional-ordinary dynamic systemsVicente Rico-Ramírez, Julio C. Barrera-Martinez, Edgar O. Castrejon-Gonzalez, Edna S. Lopez-Saucedo, Urmila M. Diwekar. cce, 133, 2020. [doi]

2018

Efficient sampling algorithm for large-scale optimization under uncertainty problemsNishant Dige, Urmila M. Diwekar. cce, 115:431-454, 2018. [doi]

2017

Optimal sensor placement with mitigation strategy for water network systems under uncertaintyRajib Mukherjee, Urmila M. Diwekar, Ashok Vaseashta. cce, 103:91-102, 2017. [doi]

2016

2015

Controllability of complex networks for sustainable system dynamicsPahola T. Benavides, Urmila M. Diwekar, Heriberto Cabezas. compnet, 3(4):566-583, 2015. [doi]

USG Uses Stochastic Optimization to Lower Distribution CostsAmy David, David Farr, Ross Januszyk, Urmila M. Diwekar. interfaces, 45(3):216-227, 2015. [doi]

Efficient ant colony optimization for computer aided molecular design: Case study solvent selection problemBerhane H. Gebreslassie, Urmila M. Diwekar. cce, 78:1-9, 2015. [doi]

2014

Comparison of different methods for predicting customized drug dosage in superovulation stage of in-vitro fertilizationKirti M. Yenkie, Urmila M. Diwekar. cce, 71:708-714, 2014. [doi]

2013

Modeling the Superovulation Stage in In Vitro FertilizationKirti M. Yenkie, Urmila M. Diwekar, Vibha Bhalerao. tbe, 60(11):3003-3008, 2013. [doi]

2011

Rigorous-simulation pinch-technology refined approach for process synthesis of the water-gas shift reaction system in an IGCC process with carbon captureJuan M. Salazar, Urmila M. Diwekar, Stephen E. Zitney. cce, 35(9):1863-1875, 2011. [doi]

Stochastic modeling and multi-objective optimization for the APECS systemKarthik Subramanyan, Urmila M. Diwekar, Stephen E. Zitney. cce, 35(12):2667-2679, 2011. [doi]

2010

Green process design, green energy, and sustainability: A systems analysis perspectiveUrmila M. Diwekar, Yogendra N. Shastri. cce, 34(9):1348-1355, 2010. [doi]

2007

Water networks security: A two-stage mixed-integer stochastic program for sensor placement under uncertaintyVicente Rico-RamÃrez, Sergio Frausto-HernÃ¡ndez, Urmila M. Diwekar, Salvador HernÃ¡ndez-Castro. cce, 31(5-6):565-573, 2007. [doi]

2006

An efficient algorithm for large scale stochastic nonlinear programming problemsY. Shastri, Urmila M. Diwekar. cce, 30(5):864-877, 2006. [doi]

2005

Uncertainties in parameter estimation and optimal control in batch distillationSaadet Ulas, Urmila M. Diwekar, Mark A. Stadtherr. cce, 29(8):1805-1814, 2005. [doi]

2004

PrefaceUrmila M. Diwekar, Reha H. Tütüncü, Andrew Schaefer. anor, 132(1-4):17-18, 2004. [doi]

An Efficient Sampling Approach to Multiobjective OptimizationYan Fu, Urmila M. Diwekar. anor, 132(1-4):109-134, 2004. [doi]

Improving convergence of the stochastic decomposition algorithm by using an efficient sampling techniqueJose M. Ponce-Ortega, Vicente Rico-Ramírez, Salvador Hernández-Castro, Urmila M. Diwekar. cce, 28(5):767-773, 2004. [doi]

Stochastic maximum principle for optimal control under uncertaintyVicente Rico-Ramírez, Urmila M. Diwekar. cce, 28(12):2845-2849, 2004. [doi]

Better Optimization of Nonlinear Uncertain Systems (BONUS): A New Algorithm for Stochastic Programming Using Reweighting through Kernel Density EstimationKemal Sahin, Urmila M. Diwekar. anor, 132(1-4):47-68, 2004. [doi]

Thermodynamic uncertainties in batch processing and optimal controlSaadet Ulas, Urmila M. Diwekar. cce, 28(11):2245-2258, 2004. [doi]

2003

A Novel Sampling Approach to Combinatorial Optimization Under UncertaintyUrmila M. Diwekar. coap, 24(2-3):335-371, 2003. [doi]

Real option theory from finance to batch distillationVicente Rico-Ramírez, Urmila M. Diwekar, Benoit Morel. cce, 27(12):1867-1882, 2003. [doi]

1994

An optimization approach to order of magnitude reasoningJayant Kalagnanam, Urmila M. Diwekar. aiedam, 8(3):207-217, 1994. [doi]

1993

An application of qualitative analysis of ordinary differential equations to azeotropic batch distillationJayant Kalagnanam, Urmila M. Diwekar. aei, 8(1):23-32, 1993. [doi]

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