Semantics has become a key topic of research in Genetic Programming (GP). refers to the outputs (behaviour) GP individual when this is run on dataset. The majority works that focus semantic diversity single-objective indicates it highly beneficial evolutionary search. Surprisingly, there minuscule conducted semantics Multi-objective (MOGP). In work we make leap beyond our understanding MOGP and...

Abstract In many real-world problems there is often the requirement to optimise multiple conflicting objectives in an efficient manner. such can be a mixture of continuous and discrete variables. Herein, we propose new multi-objective algorithm capable optimising both bounded variables The utilises Gaussian processes as surrogates combination with novel distance metric based upon Gower similari...