1 citations · 1 across the 3 of their papers we have counts for
4 papers
Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation
D. Corus, P. S. Oliveto, D. Yazdani
Various studies have shown that immune system inspired hypermutation operators can allow artificial immune systems (AIS) to be very efficient at escaping local optima of multimodal…
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…
Standard Steady State Genetic Algorithms Can Hillclimb Faster than Mutation-only Evolutionary Algorithms
Dogan Corus, Pietro S. Oliveto
Explaining to what extent the real power of genetic algorithms lies in the ability of crossover to recombine individuals into higher quality solutions is an important problem in ev…