Several methods to incorporate semantic awareness in genetic programming have been
proposed in the last few years. These methods cover fundamental parts of the evolutionary …

Coking coal is still on the list of critical raw materials in many countries since it is the main
element integrated into the blast furnace. While the energy consumption and steelmaking …

Despite the empirical success of Genetic programming (GP) in various symbolic regression
applications, GP is not still known as a reliable problem-solving technique in this domain …

The 17th European Conference on Genetic Programming (EuroGP) took place during April
23 and 25, 2015. Granada, Spain, home to 'The Alhambra'UNESCO World Heritage Site …

Research on semantics in Genetic Programming (GP) has increased over the last number of
years. Results in this area clearly indicate that its use in GP considerably increases …

Population diversity plays an important role in avoiding premature convergence in
evolutionary techniques including genetic programming (GP). Obtaining an adequate level …

Abstract Semantics has become a key topic of research in Genetic Programming (GP).
Semantics refers to the outputs (behaviour) of a GP individual when this is run on a dataset …

Proximity and diversity are two basic issues in multi-objective optimization problems.
However, it is hard to optimize them simultaneously, especially when tackling problems with …

Abstract Model transformations play an essential role in the model-driven engineering
paradigm. However, writing a correct transformation requires the user to understand both …

Locality has long been seen as a crucial property for the efficiency of Evolutionary
Algorithms in general, and Genetic Programming (GP) in particular. A number of studies …