mccormick.northwestern.edu

IEMS 351: Optimization Methods in Data Science

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
IEEE

Optimizing Enzyme-Constrained Metabolic Models by an Indicator Guided Bi-Surrogate Adaptive Multimodal Multiobjective Optimization Algorithm

Abstract: Optimization of the enzyme turnover rate kcat in enzyme-constrained metabolic models, such as S. cerevisiae’s ecYeastGEM, is essential to improve the accuracy of cellular metabolism ...
IEEE

Strategy Selection in Dynamic Constrained Multi-Objective Optimization via State-Augmented Deep Reinforcement Learning

Abstract: Dynamic constrained multi-objective optimization problems are characterized by time-varying objectives, decision variables, and constraints, presenting significant challenges for ...