Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem

Mitsuo Gen, Kenichi Ida, Chang-Yun Lee. Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem. In Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashi, editors, Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 98, Canberra, Australia, November 24-27 1998, Selected Papers. Volume 1585 of Lecture Notes in Computer Science, pages 421-429, Springer, 1998. [doi]

@inproceedings{GenIL98,
  title = {Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem},
  author = {Mitsuo Gen and Kenichi Ida and Chang-Yun Lee},
  year = {1998},
  url = {http://link.springer.de/link/service/series/0558/bibs/1585/15850421.htm},
  tags = {programming, genetic programming},
  researchr = {https://researchr.org/publication/GenIL98},
  cites = {0},
  citedby = {0},
  pages = {421-429},
  booktitle = {Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 98, Canberra, Australia, November 24-27 1998, Selected Papers},
  editor = {Bob McKay and Xin Yao and Charles S. Newton and Jong-Hwan Kim and Takeshi Furuhashi},
  volume = {1585},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-65907-2},
}