References
- S. Haykin. Neural Networks: A Comprehensive Foundation. Pretice Hall, 1999
- A. F. James and M. S. David. Neural Networks, Algorithms, Applications, and Programming Techniques. Addison Wesley, 1994
- A. Grauel and F. Berk. Mapping of dynamical systems by recurrent neural networks in an evolutionary algorithm approach. In European Congress on Intelligent Techniques and Soft Computing, volume 1, pages 470-476, 1998
- R. Jeff and V. B. Ciesielski. An evolutionary approach to training feedforward and recurrent neural networks. In International Conference on Knowledge-Based Intelligent Electronics Systems, pages 596-602, 1998 https://doi.org/10.1109/KES.1998.726028
- V. Patridis, E. Paterakis, and A. Kehagias. A hybrid neural-genetic multimodel parameter estimation algorithm. IEEE Transactions on Neural Networks, 9(5):862-876, 1998 https://doi.org/10.1109/72.712158
- J. D. Schaffer, D. Whitely, and L. J. Eshelman. Combinations of genetic algorithms and neural networks: A survey of the state of the art. In International Workshop on Combinations of Genetic Algorithms and Neural Networks, pages 1-37, 1992 https://doi.org/10.1109/COGANN.1992.273950
- C. A. Anderson, K. F. Jones, and J. Ryan. A two-dimensional genetic algorithm for the Ising problem. Complex Systems, 5:327-333, 1991
- J. P. Cohoon and W. Paris. Genetic placement. In IEEE International Conference on Computer-Aided Design, pages 422-425, 1986
- T. N. Bui and B. R. Moon. On multi-dimensional encoding/crossover. In International Conference of Genetic Algorithms, pages 49-55, 1995
- A. B. Kahng and B. R. Moon. Toward more powerful recombinations. In International Conference on Genetic Algorithms, pages 96-103, 1995
- J. H. Kim and B. R. Moon. Neuron reordering for better neuro-genetic hybrids. In Genetic and Evolutionary Computation Conference, pages 407-414, 2002
- B. R. Moon and H. N. Kim. Effective genetic coding with a two-dimensional embedding heuristic. International Journal of Knowledge- Based Intelligent Engineering Systems, 3(2):113-120, 1999
- B. R. Moon, Y. S. Lee and C. K. Kim GEORG: VLSI circuit partitioner with a new genetic algorithm framework. Journal of Intelligent Manufacturing, 9(5):401-412, 1998 https://doi.org/10.1023/A:1008812214143
- J. L. Elman. Finding structure in time. Cognitive Science, 14:179-211, 1990 https://doi.org/10.1207/s15516709cog1402_1
- T. Kohonen, S. Kaski, K. Lagus, J. Salojarvi, J.Honkela, V, Paatero, and A. Saarela. Self organization of a massive document collection. IEEE Transactions on Neural Networks, 11(3):574-585, 2000 https://doi.org/10.1109/72.846729
- J. Bagley. The Behavior of Adaptation Systems Which Employ Genetic and Correlation Algorithms. PhD thesis, University of Michigan, Ann Arbor, MI, 1967
- T. N. Bui and B. R. Moon. Hyperplane synthesis for genetic algorithms. In International Conference of Genetic Algorithms, pages 102-109, 1993
- T. N. Bui and B. R. Moon. GRCA: A hybrid genetic algorithm for circuit ratio-cut partitioning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 17(3):193-204, 1998 https://doi.org/10.1109/43.700718
- D. E. Rumelhart, G. E. Hinton, and R. J. Williams. Learning internal representations by error propagation, In D. E. Rumelhart and J. L. McCleland, editors, Parallel Distributed Processing, volume 1, chapter 8. MIT Press, Cambridge, MA, 1986
- D. Whitley and J. Kauth, Genitor: A different genetic algorithm. In Rocky Mountain Conference on Artificial Intelligence, pages 118-130, 1988
- D. Cavicchio, Adaptive search using simulated evolution. PhD thesis, Univ. of Michigan, Ann Arbor, Mich., 1970, Unpublished
- T. N. Bui and B. R. Moon. Genetic algorithm and graph partitioning. IEEE Transactions On Computers, 45(7):841-855, 1996 https://doi.org/10.1109/12.508322
- C. T. Lin and C. P. Jou. Controlling chaos by GA-based reinforcement learning neural network. IEEE Transactions on Neural Networks, 10(4): 846-869, 1999 https://doi.org/10.1109/72.774236