Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem

no code implementations • 29 May 2024 • Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann

Our experiments show that our approach is highly successful in solving the instability issue of the performance ratios and leads to evolving reliable sets of chance constraints with significantly different performance for various types of algorithms.

Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler

1 code implementation • 2 Feb 2023 • Frank Neumann, Aneta Neumann, Chao Qian, Viet Anh Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck

Submodular functions play a key role in the area of optimization as they allow to model many real-world problems that face diminishing returns.

Benchmarking Evolutionary Algorithms