Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
— There is a long history of investigations and debates on whether a sequence of retiming and resynthesis is complete for all sequential transformations (on steady states). It ha...
ABSTRACT. We consider concurrent systems that can be modelled as 1-safe Petri nets communicating through a fixed set of buffers (modelled as unbounded places). We identify a param...
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
In this paper, we consider multi-objective evolutionary algorithms for the Vertex Cover problem in the context of parameterized complexity. We relate the runtime of our algorithms...