Cartesian Genetic Programming: Some New Detections

Author:

Thi Thuong Pham

Publisher

Springer International Publishing

Reference33 articles.

1. Miller, J.F., et al.: An empirical study of the efficiency of learning boolean functions using a cartesian genetic programming approach. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1135–1142 (1999)

2. Miller, J.F., Thomson, P., Fogarty, T.: Designing electronic circuits using evolutionary algorithms. arithmetic circuits: a case study. In: Genetic Algorithms and Evolution Strategies in Engineering and Computer Science, pp. 105–131 (1997)

3. Miller, J.F.: Cartesian genetic programming. In: Cartesian Genetic Programming, pp. 17–34. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-17310-3_2

4. Miller, J.F.: Cartesian genetic programming: its status and future. Genet. Program. Evolvable Mach. 21, 129–168 (2019). https://doi.org/10.1007/s10710-019-09360-6

5. Harding, S., Leitner, J., Schmidhuber, J.: Cartesian genetic programming for image processing. In: Genetic Programming Theory and Practice X, pp. 31–44. Springer, New York (2013). https://doi.org/10.1007/978-1-4614-6846-2_3

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