We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
Evolution of analogue circuitry on a cell based system can benefit from the use of a generic cell design. A comparative analysis of the re-routing ability of two different cell ...
We present a Genetic Programming approach to evolve cooperative controllers for teams of UAVs. Our focus is a collaborative search mission in an uncertain and/or hostile environme...
Marc D. Richards, L. Darrell Whitley, J. Ross Beve...
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
As systems evolve, they become harder to understand because the implementation of concepts (e.g. business rules) becomes less coherent. To preserve source code comprehensibility, ...