Machine Learning-Driven Heuristics for Combinatorial Optimization: A Case Study on the Polynomial Knapsack Problem - University of the Philippines Diliman

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Machine Learning-Driven Heuristics for Combinatorial Optimization: A Case Study on the Polynomial Knapsack Problem

Date: Apr 7 | 3:00 PM - 5:00 PM

Join the lecture “Machine Learning-Driven Heuristics for Combinatorial Optimization: A Case Study on the Polynomial Knapsack Problem” on Monday, April 7, 3 p.m., at the UP Diliman Computational Science Research Center (CSRC) Conference Room and via Zoom.

Edoardo Fadda, PhD, assistant professor in Operations Research at Politecnico di Torino, is the resource speaker for this lecture.

To join via Zoom, register at https://tinyurl.com/ynewuk5h.

The event is organized by the CSRC, in partnership with the UP Office of International Linkages (OIL), as part of the “UP OIL World Expert Series.”

Image from the UP Diliman Computational Science Research Center Facebook page