Poziv na predavanje: "Automated design of priority rules for the cutting stock problem"

Odjel za računalnu inteligenciju Hrvatske sekcije IEEE poziva Vas na predavanje

"Automated design of priority rules for the cutting stock problem"

koje će održati Jesús Quesada Matilla, sa Sveučilišta u Oviedu, u ponedjeljak, 19. svibnja 2025. godine, s početkom u 15.30 sati u prostoriji D-260 Fakulteta elektrotehnike i računarstva Sveučilišta u Zagrebu, Unska 3.

Predavanje će se održati na engleskom jeziku, a predviđeno trajanje s raspravom je 60 minuta. Predavanje je otvoreno za sve zainteresirane, a posebno pozivamo studente.

Više informacija o predavanju i predavaču pročitajte u opširnijem sadržaju obavijesti.

Sažetak predavanja:

How can Priority Rules be designed to obtain quality solutions to optimization problems in just a few milliseconds? In this talk, I describe some optimization issues a plastic manufacturing plant in Asturias (Spain) experiences and propose a solving method using Genetic Programming for their real-world combinatory optimization problem, a version of the Cutting Stock Problem. Together we will explore variants of this problem and delve deeply into how heuristic expressions can be designed automatically in order to obtain fast quality solutions for optimization problems.

Biografija predavača:

Jesús Quesada Matilla, software engineer by the University of Oviedo in 2022 and master’s graduate in AI research by the University Menéndez Pelayo in 2023, is now preparing his doctoral thesis. He focuses his attention on the application of Genetic Programming to real world combinatory optimization problems, in particular, the Bin Packing Problem and the Cutting Stock Problem, and how it can design Priority Rules to efficiently provide quality solutions to problem instances.