T-EA: A Traceable Evolutionary Algorithm. - Cristian Ramírez-Atencia; Tobias Benecke; Sanaz Mostaghim (CEC, 2020)

Tracking the Heritage of Genes in Evolutionary Algorithms. - Tobias Benecke; Sanaz Mostaghim (CEC, 2021)

The Impact of Population Size on the Convergence of Multi-objective Evolutionary Algorithms. - Tobias Benecke; Sanaz Mostaghim (SSCI, 2021)

Estimating the quality of initial populations in multi-objective evolutionary algorithms. - Tobias Benecke; Sanaz Mostaghim (GECCO Companion, 2022)

MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms. - Sebastian Mai; Tobias Benecke; Sanaz Mostaghim (EMO, 2023)

Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes. - Andrejaana Andova; Tobias Benecke; Harald Ludwig; Tea Tusar (EvoApplications@EvoStar, 2023)

A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms. - Tobias Benecke; Oliver Antons; Sanaz Mostaghim; Julia C. Arlinghaus (GECCO Companion, 2023)

Sustainability in Chemical Production - Multi-Objective Distributed Control. - Oliver Antons; Tobias Benecke; Sanaz Mostaghim; Julia C. Arlinghaus (SoMeT, 2023)

Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms. - Tobias Benecke; Sanaz Mostaghim (SSCI, 2023)