9 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.NE2021★ 1 cited
On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials is Best
Dogan Corus, Andrei Lissovoi, Pietro S. Oliveto +1
We analyse the impact of the selective pressure for the global optimisation capabilities of steady-state EAs. For the standard bimodal benchmark function \twomax we rigorously prov…
cs.NE2019★ 9 cited
Evolving Boolean Functions with Conjunctions and Disjunctions via Genetic Programming
Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto
Recently it has been proved that simple GP systems can efficiently evolve the conjunction of variables if they are equipped with the minimal required components. In this paper,…
cs.NE2018
Computational Complexity Analysis of Genetic Programming
Andrei Lissovoi, Pietro S. Oliveto
Genetic programming (GP) is an evolutionary computation technique to solve problems in an automated, domain-independent way. Rather than identifying the optimum of a function as in…