Best Paper Award

18.12.2025|08:09 Uhr

The article “Consensus-based optimization for multi-objective problems: a multi-swarm approach” by Kathrin Klamroth, Michael Stiglmayr, and Claudia Totzeck was awarded the Best Paper Award by the Journal of Global Optimization.

The article “Consensus-based optimization for multi-objective problems: a multi-swarm approach” examines how consensus-based optimization (CBO) can be applied to multi-criteria problems. It first assumes fixed weights from the weighted sum method before selecting them using an adaptive strategy. Penalty terms prevent clusters from forming along the Pareto front. The proposed K-swarm CBO algorithm is compared with the well-known NSGA2 and NSGA3 algorithms.

Klamroth, K., Stiglmayr, M. & Totzeck, C. Consensus-based optimization for multi-objective problems: a multi-swarm approach. J Glob Optim 89, 745–776 (2024). https://doi.org/10.1007/s10898-024-01369-1