Abstract
Nature has always inspired traditional solutions to think differently. Modern applications require adaptive and fault-tolerant systems. Bio-inspired computing provides an option. Evolvable hardware (EHW) is a method where hardware is designed to adapt automatically by using optimization algorithms called evolutionary algorithms (EAs). Evolvable hardware has the potential to provide solution for complex real-world applications when compared with growing artificial intelligence (AI). This paper introduces concept of evolutionary algorithms and building blocks of evolvable hardware. Evolvable hardware has many applications, one of them being classifier systems discussed in detail. The concept of evolvable hardware came into world 23 years ago; from then onward, it has given various promising areas, but the challenges posed have stopped evolvable hardware to become competent with traditional solutions. This paper also discusses new advanced platforms and frameworks which opens a new horizon for evolvable hardware.
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Chandra, K., Jagtap, A.P., Srivastava, S. (2021). Evolvable Hardware State of the Art. In: Maji, A.K., Saha, G., Das, S., Basu, S., Tavares, J.M.R.S. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 170. Springer, Singapore. https://doi.org/10.1007/978-981-33-4084-8_66
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DOI: https://doi.org/10.1007/978-981-33-4084-8_66
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