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A new class of FPGA-based accelerators is presented for Cartesian Genetic Programming (CGP). The accelerators contain a genetic engine which is reused in all applications. Candidat...
Abstract. Virtual creatures operating in a physically realistic 3D environment, as originally introduced by Karl Sims, provide a challenging domain for artificial evolution. Howeve...
Abstract. Turing machines are playing an increasingly significant role in Computer Science domains such as bioinformatics. Instead of directly formulating a solution to a problem, ...
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...
Abstract. This work postulates a mechanism by which random genotypic variation is directed towards favourable phenotypic variation. Evolvability is a poorly understood concept at p...