Abstract
This chapter focuses on motivating an application of evolutionary computation to complex problems especially with respect to chaotic systems. In this chapter, general evolutionary techniques are first reviewed, including the so-called evolvable hardware, with some selected examples of their applications. Then, motivation of studying chaotic systems as an interesting application domain for evolutionary algorithms is provided with brief discussions.
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References
Koza, J.: Genetic Programming: A paradigm for genetically breeding populations of computer programs to solve problems, Stanford University, Computer Science Department. Technical Report, STAN-CS-90-1314 (1990)
Koza, J.: Genetic Programming. MIT Press (1998)
Ryan, C., Collins, J.J., Neill, M.O.: Grammatical Evolution: Evolving Programs for an Arbitrary Language. In: Banzhaf, W., Poli, R., Schoenauer, M., Fogarty, T.C. (eds.) EuroGP 1998. LNCS, vol. 1391, pp. 83–96. Springer, Heidelberg (1998)
Zelinka, I., Oplatkova, Z., Nolle, L.: Analytic programming – Symbolic regression by means of arbitrary evolutionary algorithms. Int. J. of Simulation, Systems, Science and Technology 6(9), 44–56 (2005)
Johnson, C.: Artificial immune systems programming for symbolic regression. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E.P.K., Poli, R., Costa, E. (eds.) EuroGP 2003. LNCS, vol. 2610, Springer, Heidelberg (2003)
Weisser, R., Osmera, P.: Two-Level Transplant Evolution for Optimization of General Controllers. In: New Trends in Technologies, Sciyo (2010)
Weisser, R., Osmera, P.: Two-level Tranpslant Evolution. In: 17th Zittau Fuzzy Colloquium, Zittau, Germany (2010)
Weisser, R., Osmera, P., Matousek, R.: Transplant Evolution with Modified Schema of Differential Evolution: Optimization Structure of Controllers. In: International Conference on Soft Computing MENDEL, Brno, Czech Republic (2010)
O’Neill, M., Brabazon, A.: Grammatical Differential Evolution. In: Proceedings of International Conference on Artificial Intelligence, pp. 231–236. CSEA Press (2006)
Koza, J., Bennet, F., Andre, D., Keane, M.: Genetic Programming III. Morgan Kaufmann, New York (1999)
Zelinka, I., Oplatkova, Z.: Analytic programming – Comparative study. In: Proceedings of Second International Conference on Computational Intelligence, Robotics, and Autonomous Systems, Singapore (2003)
Koza, J., Keane, M., Streeter, M.: Evolving inventions. Scientific American, 40–47 (2003)
Oplatkova, Z., Zelinka, I.: Investigation on artificial ant using analytic programming. In: Proceedings of Genetic and Evolutionary Computation Conference, Seattle, WA, pp. 949–950 (2006)
O’Neill, M., Ryan, C.: Grammatical Evolution, Evolutionary Automatic Programming in an Arbitrary Language. Springer, New York (2003)
Zelinka, I., Chen, G., Celikovsky, S.: Chaos Synthesis by Means of Evolutionary algorithms. International Journal of Bifurcation and Chaos 18(4), 911–942 (2008) ISSN 0218-1274
Zelinka, I., Chen, G., Celikovsky, S.: Evolutionary Algorithms and Chaotic Systems. Springer, Germany (2010)
Zelinka, I.: Analytic programming by Means of new evolutionary algorithms. In: Proceedings of 1st International Conference on New Trends in Physics 2001, Brno, Czech Republic, pp. 210–214 (2001)
Zelinka, I.: Analytic programming by means of SOMA algorithm. In: Proceedings of First International Conference on Intelligent Computing and Information Systems, Cairo, Egypt, pp. 148–154 (2002)
Oplatkova, Z.: Optimal trajectory of robots using symbolic regression. In: Proceedings of 56th International Astronautics Congress, Fukuoka, Japan (2005)
Zelinka, I., Davendra, D., Senkerik, R., Jasek, R., Oplatkova, Z.: Analytical Programming - a Novel Approach for Evolutionary Synthesis of Symbolic Structures. In: Kita, E. (ed.) Evolutionary Algorithms. InTech (2011), http://www.intechopen.com/books/evolutionary-algorithms/analytical-programming-a-novel-approach-for-evolutionary-synthesis-of-symbolic-structures , doi:10.5772/16166, ISBN: 978-953-307-171-8
Zelinka, I., Oplatkova, Z., Nolle, L.: Boolean Symmetry Function Synthesis by Means of Arbitrarry Evolutionary Algorithms - Comparative Study. In: 18th European Simulation Multiconference, ESM 2004, Magdeburg, Germany, Gruner Druck, GmbH (2004)
Zelinka, I., Oplatkova, Z.: Boolean Parity Function Synthesis by Means of Arbitrary Evolutionary Algorithms - Comparative Study. In: 8th World Multiconference on Systemics, Cybernetics and Informatics, SCI 2004, Orlando, USA (2004)
Strakos, R.: Design electronics circuits by means of evolution method, UTB Zlin. Diploma thesis, Czech Republic (2005)
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Zelinka, I. (2014). On Evolutionary Design of Complex Structures and Electronic Circuits. In: Zelinka, I., Duy, V., Cha, J. (eds) AETA 2013: Recent Advances in Electrical Engineering and Related Sciences. Lecture Notes in Electrical Engineering, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41968-3_2
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DOI: https://doi.org/10.1007/978-3-642-41968-3_2
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