This paper investigates and presents a novel self-repair algorithm, based on a prokaryotic bio-inspired artificial model, for implementing evolvable self-healing bio-inspired systems. The key feature of the model is that system reliability can be increased with only a minimal amount of hardware overhead. It also offers a bio-inspired compression/decompression technique that exploits the intimate relationship between different genes. Distributed DNA, highly dynamic and optimized genome redundancy and optimized self-repair characteristics (using block and cell elimination) are some of the other advantages of the proposed model.
['Mohammad Samie', 'Gabriel Dragffy', 'Tony Pipe']
Novel bio-inspired self-repair algorithm for evolvable fault tolerant hardware systems