460 citations · 1k across the 14 of their papers we have counts for
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Domain reduction techniques for global NLP and MINLP optimization
Yash Puranik, Nikolaos V. Sahinidis
Optimization solvers routinely utilize presolve techniques, including model simplification, reformulation and domain reduction techniques. Domain reduction techniques are especiall…
Simulation optimization: A review of algorithms and applications
Satyajith Amaran, Nikolaos V. Sahinidis, Bikram Sharda +1
Simulation Optimization (SO) refers to the optimization of an objective function subject to constraints, both of which can be evaluated through a stochastic simulation. To address…
The ALAMO approach to machine learning
Zachary T. Wilson, Nikolaos V. Sahinidis
ALAMO is a computational methodology for leaning algebraic functions from data. Given a data set, the approach begins by building a low-complexity, linear model composed of explici…
Optimization of circuitry arrangements for heat exchangers using derivative-free optimization
Nikolaos Ploskas, Christopher Laughman, Arvind U. Raghunathan +1
Optimization of the refrigerant circuitry can improve a heat exchanger's performance. Design engineers currently choose the refrigerant circuitry according to their experience and…
Computer-aided molecular design: An introduction and review of tools, applications, and solution techniques
Nick D. Austin, Nikolaos V. Sahinidis, Daniel W. Trahan
This article provides an introduction to and review of the field of computer-aided molecular design (CAMD). It is intended to be approachable for the absolute beginner as well as u…