Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Principles in the Evolutionary Design of Digital Circuits—Part I
Genetic Programming and Evolvable Machines
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
An Evolved Circuit, Intrinsic in Silicon, Entwined with Physics
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
Aspects of Digital Evolution: Geometry and Learning
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
On the Automatic Design of Robust Electronics Through Artificial Evolution
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Experiments in Evolvable Filter Design Using Pulse Based Programmable Analogue VLSI Models
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
Proceedings of the European Conference on Genetic Programming
Design of a High-Gain Operational Amplifier and Other Circuits by Means of Genetic Programming
EP '97 Proceedings of the 6th International Conference on Evolutionary Programming VI
Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems
Papers from an international workshop on Towards Evolvable Hardware, The Evolutionary Engineering Approach
Experiments in Evolvable Filter Design Using Pulse Based Programmable Analogue VLSI Models
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Extraction of Design Patterns from Evolutionary Algorithms Using Case-Based Reasoning
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
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The evolution of digital circuits up to the present time has concentrated from necessity upon small systems consisting of very few individual gates. In this paper, the potential for evolving larger systems more quickly is explored via a method of visualising the sub-components of the final network as and when they appear. It is envisaged that by doing this one will be able to take partially evolved solutions from short runs, then feed these to a further evolution. Therefore, instead of long random evolutionary runs, we end up with an approach consisting of a number of much shorter runs with evolution being assisted by sub-components that have already been identified. It is found that doing this does, indeed, speed the process in both the experiments described herein and in those of a companion paper [11].