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MESS 2026 — Metaheuristics Summer School: Emerging Computing Paradigms for Optimization: from Quantum to Neuromorphic
29 June - 3 July
Short Overview:
The Metaheuristics Summer School (MESS 2026) is an intensive educational program focused on advanced metaheuristic optimization methods, exploring emerging computing paradigms including quantum, neuromorphic, and machine-learning-enhanced optimization. It aims to bring together motivated students, researchers, and professionals for lectures, hands-on sessions, and discussions with leaders in optimization research, promoting deep understanding of state-of-the-art techniques.
Topics:
- Metaheuristic optimization algorithms
- Emerging computing paradigms (quantum & neuromorphic)
- Optimization in machine learning & AI
- Hybrid and algorithmic strategies
- Distributed & parallel optimization
- Application to real-world problems
