35 citations · 60 across the 18 of their papers we have counts for
4 papers · 1 filter
On the Impact of the Cutoff Time on the Performance of Algorithm Configurators
George T. Hall, Pietro S. Oliveto, Dirk Sudholt
Algorithm configurators are automated methods to optimise the parameters of an algorithm for a class of problems. We evaluate the performance of a simple random local search config…
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,…
On Inversely Proportional Hypermutations with Mutation Potential
Dogan Corus, Pietro S. Oliveto, Donya Yazdani
Artificial Immune Systems (AIS) employing hypermutations with linear static mutation potential have recently been shown to be very effective at escaping local optima of combinatori…
On the Benefits of Populations on the Exploitation Speed of Standard Steady-State Genetic Algorithms
Dogan Corus, Pietro S. Oliveto
It is generally accepted that populations are useful for the global exploration of multi-modal optimisation problems. Indeed, several theoretical results are available showing such…