Matthew J. Realff

According to our database1, Matthew J. Realff authored at least 21 papers between 1998 and 2018.

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Bibliography

2018
Machine learning: Overview of the recent progresses and implications for the process systems engineering field.
Computers & Chemical Engineering, 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.
Computers & Chemical Engineering, 2015

Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO2 adsorption on amine sorbents.
Computers & Chemical Engineering, 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.
Computers & Chemical Engineering, 2014

Bioreactor-based fuel systems. I: Optimal production capacity considering start-up dynamics.
Computers & Chemical Engineering, 2014

2013
MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces.
Computers & Chemical Engineering, 2013

2011
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty.
Computers & Chemical Engineering, 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.
Computers & Chemical Engineering, 2010

2009
Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems.
Computers & Chemical Engineering, 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. Biology Chem., 2006

2004
Sample average approximation methods for stochastic MINLPs.
Computers & Chemical Engineering, 2004

An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem.
Computers & Chemical Engineering, 2004

Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application.
Computers & Chemical Engineering, 2004

An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem.
Computers & Chemical Engineering, 2004

1999
Propagation of Interval Values in Simple Processing Networks.
INFORMS Journal on Computing, 1999

Combined analytical and empirical learning framework for branch and bound algorithms: the knapsack problem.
AI in Engineering, 1999

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


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