Vishal Goyal, Ph.D.

Affiliations: 
2005 Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Area:
Chemical Engineering, Industrial Engineering, Operations Research
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Parents

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Marianthi G. Ierapetritou grad student 2005 Rutgers, New Brunswick
 (Design and synthesis of flexible module -based systems.)
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Publications

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Bertsimas D, Goyal V. (2013) On the approximability of adjustable robust convex optimization under uncertainty Mathematical Methods of Operations Research. 77: 323-343
Bertsimas D, Goyal V. (2010) On the power of robust solutions in two-stage stochastic and adaptive optimization problems Mathematics of Operations Research. 35: 284-305
Goyal V, Ierapetritou MG. (2007) Stochastic MINLP optimization using simplicial approximation Computers and Chemical Engineering. 31: 1081-1087
Goyal V, Ierapetritou MG. (2005) Multiobjective framework for modular design generation incorporating demand uncertainty Industrial and Engineering Chemistry Research. 44: 3594-3606
Goyal V, Ierapetritou MG. (2005) Stochastic MINLP optimisation using simplicial approximation Computer Aided Chemical Engineering. 20: 61-66
Goyal V, Ierapetritou MG. (2005) Corrigendum to ¿Computational studies using a novel simplical-approximation based algorithm for MINLP optimization¿ [Computers and Chemical Engineering 28 (2004) 1771¿1780] ¿ Computers & Chemical Engineering. 29: 1151-1152
Goyal V, Ierapetritou MG. (2004) Deterministic framework for robust modular design with integrated-demand data analysis Industrial & Engineering Chemistry Research. 43: 6813-6821
Ierapetritou M, Goyal V. (2004) Scenario-Based approach for robust modular design generation Computer Aided Chemical Engineering. 18: 421-426
Hauksdóttir AS, Zühlke U, Ierapetritou MG, et al. (2004) Chapter D5 – The solution of the simultaneous decoupling and pole placement problem using global optimization Computer-Aided Chemical Engineering. 17: 582-603
Goyal V, Ierapetritou MG. (2004) Computational studies using a novel simplicial-approximation based algorithm for MINLP optimization Computers and Chemical Engineering. 28: 1771-1780
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