Data-driven and Surrogate Optimization in Operation II | AIChE

Data-driven and Surrogate Optimization in Operation II

Chair(s)

Jiang, Z., Corteva Agriscience

Co-chair(s)

Charitopoulos, V., University College London

The session invites papers in the general area of data-driven and surrogate based optimization. Topics on theory, algorithms and software for data-driven modeling, digital twins, derivative-free optimization, surrogate modeling and optimization, black-box and grey-box optimization, machine learning/AI-embedded optimization, etc., are of interest. Application papers offering insights into the interplay between data-driven optimization theory and practice are also encouraged.

Presentations

Checkout

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

Checkout

Do you already own this?

Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00