Advances in Optimization with Surrogate and Mixed-Integer Models

Scott, J., Georgia Institute of Technology
Hasan, M. M. F., Artie McFerrin Department of Chemical Engineering, Texas A&M University

Process Systems Engineering has been heavily rooted in our ability to formulate models and analyze data so as to make good decisions. This session thus invites papers that contemplate advances in the theory, methods and numerical algorithms for optimal decision-making. Whereas demonstration of the contributions via examples drawn from specific application contexts are encouraged, papers should define in mathematical terms the broader problem class in which the contribution is relevant. All classes of optimization problems are considered.



Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.


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