10C: Data-driven Optimization | AIChE

10C: Data-driven Optimization

Chair(s)

del Rio Chanona, A., Imperial College London

Co-chair(s)

Yuan, Z., Tsinghua University
Wu, Z., University of California Los Angeles
Yin, X., Nanyang Technological University

The session invites papers in the general area of data-driven and surrogate-based optimization. Topics on theory, algorithms and software for 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.

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