In financial engineering the problem of portfolio selection has drawn much attention in the last decades. But still unsolved problems remain, while on the one hand the type of mod...
The use of Genetic Algorithms in evolution of mutants and test cases offers new possibilities in addressing some of the main problems of mutation testing. Most specifically the p...
Konstantinos Adamopoulos, Mark Harman, Robert M. H...
Abstract. Genetic Programming often uses excessive computational resources because the population size and the maximum number of generations per run are not optimized. We have deve...
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
This paper explores some simple evolutionary strategies for an elitist, steady-state Pareto-based multi-objective evolutionary algorithm. The experimental framework is based on the...