1 |
A general primal bounding framework for large-scale multistage stochastic programs under endogenous uncertainties Zeng Z, Cremaschi S Chemical Engineering Research & Design, 141, 464, 2019 |
2 |
A branch and bound algorithm to solve large-scale multistage stochastic programs with endogenous uncertainty Christian B, Cremaschi S AIChE Journal, 64(4), 1262, 2018 |
3 |
A multistage stochastic programming formulation to evaluate feedstock/process development for the chemical process industry Christian B, Cremaschi S Chemical Engineering Science, 187, 223, 2018 |
4 |
Robust optimization for decision-making under endogenous uncertainty Lappas NH, Gounaris CE Computers & Chemical Engineering, 111, 252, 2018 |
5 |
Variants to a knapsack decomposition heuristic for solving R&D pipeline management problems Christian B, Cremaschi S Computers & Chemical Engineering, 96, 18, 2017 |
6 |
Models and computational strategies for multistage stochastic programming under endogenous and exogenous uncertainties Apap RM, Grossmann IE Computers & Chemical Engineering, 103, 233, 2017 |
7 |
Recent advances in mathematical programming techniques for the optimization of process systems under uncertainty Grossmann IE, Apap RM, Calfa BA, Garcia-Herreros P, Zhang Q Computers & Chemical Engineering, 91, 3, 2016 |
8 |
Heuristic solution approaches to the pharmaceutical R&D pipeline management problem Christian B, Cremaschi S Computers & Chemical Engineering, 74, 34, 2015 |
9 |
A prototype simulation-based optimization approach to model feedstock development for chemical process industry Fahmi I, Cremaschi S Chemical Engineering Research & Design, 91(8), 1499, 2013 |