Matthew J. Realff

According to our database1, Matthew J. Realff authored at least 28 papers between 1995 and 2022.

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Bibliography

2022
Computers and chemical engineering virtual special issue in honor of Professor George Stephanopoulos.
Comput. Chem. Eng., 2022

2020
Bayesian design of experiments for adsorption isotherm modeling.
Comput. Chem. Eng., 2020

Managing uncertainty in data-driven simulation-based optimization.
Comput. Chem. Eng., 2020

2018
Machine learning: Overview of the recent progresses and implications for the process systems engineering field.
Comput. Chem. Eng., 2018

2016
Stochastic optimization with value function approximation for micro-grid operation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests.
Comput. Chem. Eng., 2015

Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO<sub>2</sub> adsorption on amine sorbents.
Comput. Chem. Eng., 2015

2014
Analysis and comparison of single period single level and bilevel programming representations of a pre-existing timberlands supply chain with a new biorefinery facility.
Comput. Chem. Eng., 2014

Bioreactor-based fuel systems. I: Optimal production capacity considering start-up dynamics.
Comput. Chem. Eng., 2014

2013
MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces.
Comput. Chem. Eng., 2013

2011
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty.
Comput. Chem. Eng., 2011

Integration of channel decisions in a decentralized reverse production system with retailer collection under deterministic non-stationary demands.
Adv. Eng. Informatics, 2011

2010
Point-based standard optimization with life cycle assessment for product design.
Comput. Chem. Eng., 2010

2009
Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems.
Comput. Chem. Eng., 2009

2008
Scenario relaxation algorithm for finite scenario-based min-max regret and min-max relative regret robust optimization.
Comput. Oper. Res., 2008

2007
Assessing performance and uncertainty in developing carpet reverse logistics systems.
Comput. Oper. Res., 2007

2006
Identifying the interacting positions of a protein using Boolean learning and support vector machines.
Comput. Biol. Chem., 2006

2004
Sample average approximation methods for stochastic MINLPs.
Comput. Chem. Eng., 2004

An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem.
Comput. Chem. Eng., 2004

Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application.
Comput. Chem. Eng., 2004

An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem.
Comput. Chem. Eng., 2004

2001
Connections as a Focus for Model-Building Learning in Engineering.
Interact. Learn. Environ., 2001

1999
Propagation of Interval Values in Simple Processing Networks.
INFORMS J. Comput., 1999

Combined analytical and empirical learning framework for branch and bound algorithms: the knapsack problem.
Artif. Intell. Eng., 1999

Using a CSCL-Driven shift in agency to undertake educational reform.
Proceedings of the 1999 Conference on Computer Support for Collaborative Learning, 1999

1998
On the Application of Explanation-Based Learning to Acquire Control Knowledge for Branch and Bound Algorithms.
INFORMS J. Comput., 1998

1997
Balancing Usability and Learning in an Interface.
Proceedings of the Human Factors in Computing Systems, 1997

1995
Technology support for collaborative learning in a problem-based curriculum for sustainable technology.
Proceedings of the First International Conference on Computer Support for Collaborative Learning, 1995


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