Matthew J. Realff

According to our database1, Matthew J. Realff authored at least 27 papers between 1995 and 2020.

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PhD thesis 


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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