Multi Expression Programming (MEP) is a Genetic Programming (GP) variant that uses linear chromosomes for solution encoding. A unique MEP feature is its ability of encoding multipl...
In this paper we focus on the problem of making a model of the sensory apparatus from raw uninterpreted sensory data as defined by Pierce and Kuipers (Artificial Intelligence 92:1...
Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani
We introduce and apply a genetic representation for analog electronic circuits based on the association of character strings extracted from the genome with the terminals and param...
The work presented here tackles the problem of designing a unipolar 6-bit digital-to-analog converter (DAC) with a voltage mode output by hardware evolution. Thereby a Field Progr...
This paper reviews the use of genetic programming as an automated invention machine for the synthesis of both the topology and sizing of analog electrical circuits. The paper focu...
John R. Koza, Martin A. Keane, Matthew J. Streeter