The MESS Metaheuristic Competition 2024 is an international event that will take place from July 15 to 18, 2024, in Catania, Italy. Organized within the framework of the Metaheuristics Summer School (MESS) 2024, the competition is open to master’s students, PhD candidates, post-doctoral researchers, academics, and professionals, with the aim of fostering the development of advanced solutions for complex optimization problems.
The MESS Metaheuristic Competition 2024 represents a unique opportunity to experiment with new optimization techniques, interact with field experts, and contribute to internationally relevant research. Through our platform, the competition management is handled in an innovative and effective way, providing participants with an interactive and engaging experience.
The competition challenges participants to develop metaheuristic solutions for a specific optimization problem. The problem details, including the provided datasets and solution requirements, are available in the dedicated section on the official competition website: https://fourclicks.eu/fck/mess2024/frontend/#/home/info
Participants, either individually or in teams, are required to propose innovative algorithms capable of solving the problem efficiently, leveraging combinatorial optimization techniques, artificial intelligence, and high-performance computing.
To facilitate competition management and ensure a smooth experience for participants, we have developed a dedicated web platform. The website offers:
La MESS Metaheuristic Competition 2024 è una competizione internazionale dedicata allo sviluppo di soluzioni avanzate per problemi di ottimizzazione complessi, organizzata nell’ambito della Metaheuristics Summer School (MESS).
La competizione è aperta a studenti magistrali, dottorandi, ricercatori e professionisti interessati ai temi dell’ottimizzazione, dell’intelligenza artificiale e del calcolo ad alte prestazioni.
L’obiettivo è sviluppare algoritmi innovativi basati su metaeuristiche per risolvere un problema specifico di ottimizzazione, valutando le soluzioni in termini di efficienza e qualità dei risultati.
I partecipanti devono affrontare un problema di ottimizzazione combinatoria, i cui dettagli, dataset e requisiti sono forniti nella piattaforma ufficiale della competizione.