Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis

Random mechanisms including mutations are an internal part of evolutionary algorithms, which based on the fundamental ideas Darwin’s theory evolution as well Mendel’s genetic heritage. In this paper, we debate whether pseudo-random processes needed for algorithms or deterministic chaos, is not a random process, can be suitably used instead. Specifically, compare performance 10 driven by chaotic dynamics and number generators using comparative study. study, logistic equation employed generating periodical sequences different lengths, in instead randomness. We suggest that, generators, specific class (based chaos) to improve algorithms. Finally, our findings, propose new research questions.