A Scalable Approach to Evolvable Hardware
Genetic Programming and Evolvable Machines
Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
ICES '00 Proceedings of the Third International Conference on Evolvable Systems: From Biology to Hardware
A Divide-and-Conquer Approach to Evolvable Hardware
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Evolvable Hardware: From On-Chip Circuit Synthesis to Evolvable Space Systems
ISMVL '00 Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logic
Explorations in design space: unconventional electronics designthrough artificial evolution
IEEE Transactions on Evolutionary Computation
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Research in Evolutionary Computation has switched some of its focus to applications in Electrical Engineering problems, leading to the field of study called Evolvable Hardware (EHW). The final goal is the creation of complete evolvable hardware systems that can adapt to changing environments and increase system performance during operation. To accomplish this task, there are three main components in this system: Genetic Algorithm, response evaluation and configurable hardware. Though the interpretation of the binary chromosome will vary from one optimization problem to another, the manipulation of the chromosomes using reproduction operators such as crossover and mutation will stay consistent. In this paper, we design a hardware-based architecture to perform the Genetic Algorithm in this system, called FPGA-based Genetic Algorithm Kernel. This modular architecture of the Genetic Algorithm will ensure its ease for modifications and suitability for different applications.