DATE:

Friday, September 17, 2021

TIME:

3:30 PM

LOCATION:

GMCS 314

SPEAKER:

Carlos D. Paternina-Arboleda, Management Information Systems, San Diego State University

ABSTRACT:

This research work covers analytics and optimization of large-scale transportation and Logistics systems. The core relates to intelligent cooperative agent structures, such as reinforcement learning algorithms, Ant Colony Systems, fictitious play (a game theoretical learning approach) and evolutionary algorithms for multi-objective optimization, most of it within the supply chain and transportation application context. Software tools for Supply Chain Analytics will be presented in this case study

HOST:

Jose Castillo

VIDEO: