Advances in nonlinear and surrogate optimization | AIChE

Advances in nonlinear and surrogate optimization


Allman, A., University of Michigan
Cao, Y., The University of British Columbia

Optimization methods algorithms form the core tools for process operations and process systems engineering in general. The session invites papers in the general area of Process Systems Optimization. Topics on theory, algorithms and software for all classes of optimization problems are considered. Application papers offering insights into the interplay between optimization theory and practice are also encouraged.



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


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