Advanced Experimental Results Verifying that Inherent Adaptive Fault Tolerance Exists in the Bio-inspired Levy Flight Firefly Algorithm

The bio-inspired Lévy Flight Firefly Algorithm (LFFA) can be effectively applied to IIR adaptive filters designed with conventional second order structures, coupled form structures, and lattice-ladder structures. Adaptive Fault Tolerant (AFT) digital filters take advantage of non-canonical architectures that use the inherent adaptive procedure as an automatic fault recovery mechanism. Since the LFFA is based on particle swarm optimization (PSO), the swarm provides many additional adaptive parameters. This paper presents some advanced experimental results to further confirm that the LFFA contains inherent adaptive fault tolerant capabilities which are very important when the LFFA is used in adaptive digital filtering applications.