Self-adjusting evolutionary algorithms for multimodal optimization. - Amirhossein Rajabi; Carsten Witt (GECCO, 2020)

Evolutionary Algorithms with Self-adjusting Asymmetric Mutation. - Amirhossein Rajabi; Carsten Witt (PPSN (1), 2020)

Stagnation Detection with Randomized Local Search. - Amirhossein Rajabi; Carsten Witt (EvoCOP, 2021)

Stagnation detection in highly multimodal fitness landscapes. - Amirhossein Rajabi; Carsten Witt (GECCO, 2021)

Stagnation Detection Meets Fast Mutation. - Benjamin Doerr; Amirhossein Rajabi (EvoCOP, 2022)

Simulated annealing is a polynomial-time approximation scheme for the minimum spanning tree problem. - Benjamin Doerr; Amirhossein Rajabi; Carsten Witt (GECCO, 2022)

Escaping Local Optima with Local Search: A Theory-Driven Discussion. - Tobias Friedrich 001; Timo Kötzing; Martin S. Krejca; Amirhossein Rajabi (PPSN (2), 2022)

How Well Does the Metropolis Algorithm Cope With Local Optima? - Benjamin Doerr; Taha El Ghazi El Houssaini; Amirhossein Rajabi; Carsten Witt (GECCO, 2023)