[CFP]CALL FOR PAPERS — Special Session @ WCCI 2026 Data-Driven Surrogate-Assisted & Knowledge-Informed Evolutionary Optimization for Complex Systems

[Arka Ghosh]

CALL FOR PAPERS — Special Session @ WCCI 2026
Data-Driven Surrogate-Assisted & Knowledge-Informed Evolutionary Optimization for Complex Systems
📍 Maastricht, The Netherlands
📅 21–26 June 2026

We’re excited to invite submissions to our Special Session at the IEEE World Congress on Computational Intelligence (WCCI 2026)!
🌐 https://lnkd.in/dUb7wggv
As modern systems become more complex — from engineering design to multi-physics simulations and intelligent transport — the cost of running high-fidelity evaluations grows dramatically.
This session explores how machine learning, surrogate modelling, and evolutionary optimisation can work together to solve these expensive and challenging problems.
✨ We welcome contributions on topics including:
- Surrogate-assisted EAs (SOO/MOO)
- Knowledge-informed & hybrid evolutionary optimisation
- Data-driven surrogate modelling
- Transfer learning for surrogate-based optimisation
- Active learning, uncertainty modelling, adaptive sampling
- Real-world applications — engineering, transport, energy, sustainability, system design & control
- Theory, frameworks, benchmarks

🗓️ Submission Deadline: 31 January 2026 (23:59 UTC-12)
🔗 Conference: https://lnkd.in/dtP3ZPBe

👥 Organising Committee
- Dr. Arka Ghosh — University of Deusto, Bilbao, Spain 🇪🇸
- Dr. Gregor Papa — Jožef Stefan Institute, Ljubljana, Slovenia 🇸🇮
- Dr. Swagatam Das — Indian Statistical Institute, Kolkata, India 🇮🇳
- Dr. Aleš Zamuda — University of Maribor, Maribor, Slovenia 🇸🇮

🤝 We invite the ML, optimisation, evolutionary computing, and complex systems communities to join us and submit their latest work.
Let’s push forward the next generation of intelligent, data-driven optimisation! 🌍✨