15 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.NE2022
Coevolutionary Pareto Diversity Optimization
Aneta Neumann, Denis Antipov, Frank Neumann
Computing diverse sets of high quality solutions for a given optimization problem has become an important topic in recent years. In this paper, we introduce a coevolutionary Pareto…
cs.NE2020★ 15 cited
Runtime Analysis of a Heavy-Tailed Genetic Algorithm on Jump Functions
Denis Antipov, Benjamin Doerr
It was recently observed that the genetic algorithm can comparably easily escape the local optimum of the jump functions benchmark. Consequently, this algorithm can opt…
cs.NE2019★ 3 cited
The Efficiency Threshold for the Offspring Population Size of the (, ) EA
Denis Antipov, Benjamin Doerr, Quentin Yang
Understanding when evolutionary algorithms are efficient or not, and how they efficiently solve problems, is one of the central research tasks in evolutionary computation. In this…