An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem

Chao Huo, Rong-Qiang Zeng, Yang Wang, Ming-sheng Shang. An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem. In Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings. Volume 9937 of Lecture Notes in Computer Science, pages 58-67, Springer, 2016. [doi]

@inproceedings{HuoZWS16,
  title = {An Effective Genetic Algorithm with Uniform Crossover for Bi-objective Unconstrained Binary Quadratic Programming Problem},
  author = {Chao Huo and Rong-Qiang Zeng and Yang Wang and Ming-sheng Shang},
  year = {2016},
  doi = {10.1007/978-3-319-46257-8_7},
  url = {http://dx.doi.org/10.1007/978-3-319-46257-8_7},
  researchr = {https://researchr.org/publication/HuoZWS16},
  cites = {0},
  citedby = {0},
  pages = {58-67},
  booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings},
  editor = {Hujun Yin and Yang Gao and Bin Li and Daoqiang Zhang and Ming Yang and Yun Li and Frank Klawonn and Antonio J. Tallón-Ballesteros},
  volume = {9937},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-46256-1},
}