Abstract
Throughout history, nature has always been an inspiration for mankind. It is not an exaggeration to say that almost every human invention, from engineering to social sciences, has been an attempt to replicate nature. In fact, nature continues to play an important roll in different human activities. From a scientific perspective, nature-inspired methods have proven to be an efficient tool for tackling real-life problems that are difficult to solve because of their high complexity or the limitation of resources to analyze them. The core idea is the fact that several natural phenomena, from simple to complex, always try to optimize certain parameters. Thus, this chapter gives an overview of nature-inspired methods from computational point of view, and summarizes key contributions of this book that focuses on methods that can simulate natural phenomena using computers, and the benefits of applying this methodology to the analysis and design of engineering control systems.
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References
Ali, M.Z., Morghem, A., Albadarneh, J., Al-Gharaibeh, R., Suganthan, P., Reynolds, R.G.: Cultural algorithms applied to the evolution of robotic soccer team tactics: a novel perspective. In: Evolutionary Computation (CEC), 2014 IEEE Congress on, pp. 2180–2187. IEEE (2014)
Binitha, S., Sathya, S.S.: A survey of bio inspired optimization algorithms. Int. J. Soft Comput. Eng. 2(2), 137–151 (2012)
Brownlee, J.: Clever algorithms: nature-inspired programming recipes. Jason Brownlee (2011)
King, R.E.: Computational intelligence in control engineering. CRC Press, Boca Raton (1999)
Lam, A.Y.S., Li, V.O.K.: Chemical reaction optimization: a tutorial. Memetic Comput. 4(1), 3–17 (2012)
Martn-Palma, R.J., Lakhtakia, A.: Engineered biomimicry for harvesting solar energy: a bird’s eye view. Int. J. Smart Nano Mater. 4(2), 83–90 (2013)
Nasira, G.M., Kumar, S.A., Kiruba, M.S.: A comparative study of fuzzy logic with artificial neural networks algorithms in clustering. J Comput Appl 1(4), 6 (2008)
Neumann, F., Witt, C.: Bioinspired computation in combinatorial optimization: algorithms and their computational complexity. In: Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation, pp. 1035–1058. ACM (2012)
Ponce-Espinosa, H., Ponce-Cruz, P., Molina, A.: Artificial organic networks. In: Artificial Organic Networks, pp. 53–72. Springer, Berlin (2014)
Primerano, R.: A case study in system-level physics-based simulation of a biomimetic robot. Trans. Autom. Sci. Eng. 8(3), 664–671 (2011)
Reynolds, RG.: An introduction to cultural algorithms. In: Proceedings of the third annual conference on evolutionary programming, pp. 131–139. Singapore (1994)
Rozenberg, G., Bck, T., Kok, J.N.: Handbook of natural computing. Springer Publishing Company, Incorporated, Berlin (2011)
Szederkenyi, G.: Intelligent control systems: an introduction with examples. Springer Science and Business Media, Berlin (2006)
Weyland, D.: A rigorous analysis of the harmony search algorithm: how the research community can be. Model. Anal. Appl. Metaheuristic Comput. Adv. Trends, 72 (2012)
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Ponce Espinosa, H.E., Ayala-Solares, J.R. (2016). The Power of Natural Inspiration in Control Systems. In: Espinosa, H. (eds) Nature-Inspired Computing for Control Systems. Studies in Systems, Decision and Control, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-319-26230-7_1
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DOI: https://doi.org/10.1007/978-3-319-26230-7_1
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Online ISBN: 978-3-319-26230-7
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