1. The Competing Genes Evolutionary Algorithm: Avoiding Genetic Drift through Competition, Local Search, and Majority Voting
2. Riade Benbaki , Ziyad Benomar , and Benjamin Doerr . A rigorous runtime analysis of the 2-MMASib on jump functions: ant colony optimizers can cope well with local optima . In Genetic and Evolutionary Computation Conference, GECCO 2021 , pages 4 -- 13 . ACM, 2021 . Riade Benbaki, Ziyad Benomar, and Benjamin Doerr. A rigorous runtime analysis of the 2-MMASib on jump functions: ant colony optimizers can cope well with local optima. In Genetic and Evolutionary Computation Conference, GECCO 2021, pages 4--13. ACM, 2021.
3. Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182);Uribe Josu Ceberio;Dagstuhl Reports,2022
4. When is an estimation of distribution algorithm better than an evolutionary algorithm?