革新知能統合研究センター

Date and Time: June 27, 2025, 14:30 – 15:30 (JST)
Venue: Online and Meeting Room C at the RIKEN AIP Nihonbashi office
*Meeting Room C is available to AIP researchers only

Title: Evolutionary computation for chance-constrained optimisation problems

Presenter: Aneta Neumann, University of Adelaide, Australia
https://researchers.adelaide.edu.au/profile/aneta.neumann

Abstract of the talk:
Many optimisation problems involve stochastic components, and evolutionary algorithms have been successfully applied to a wide range of these problems. Chance constraints allow to limit the effect of uncertainty with respect to stochastic components in the constraints and have been widely applied in operations research. In this talk, we will discuss some recent evolutionary computation approaches for dealing with stochastic problems in the chance constrained setting where objective values or constraints are met with given guarantees. On the applications side, we discuss approaches for mine planning under uncertainty and present results for evolutionary multi-objective algorithms in the context of chance constrained submodular optimisation.

Bio of the presenter:
Aneta Neumann is a researcher in the School of Computer and Mathematical Sciences at the University of Adelaide, Australia, and focuses on solving real world problems using evolutionary computation and machine learning methods. She is also a member of the Integrated Mining Consortium at the University of Adelaide. Aneta graduated in Computer Science from the Christian-Albrechts-University of Kiel, Germany, and received her PhD from the University of Adelaide, Australia. She served as the co-chair of the Real-World Applications track at the Genetic and Evolutionary Computation Conference (GECCO) 2021-2022 and was the co-chair of the Genetic Algorithms track at GECCO 2023-2024. She is a co-organiser of the Workshop on AI-based Optimisation 2025 in Melbourne and publicity co-chair for the International Conference on Evolutionary Multi-Criterion Optimization 2025. She received the Best Paper Nominations at GECCO 2019, GECCO 2021-22, and the Best Paper Award at GECCO 2024. Her main research interests are bio-inspired computation methods, with a particular focus on dynamic and stochastic multi-objective optimization for real-world problems that occur in the mining industry, green energy, defence, creative industries, and public health.