Chao Huo, Rong-Qiang Zeng, Yang Wang, Ming-sheng Shang. A Multi-parent Crossover Based Genetic Algorithm for Bi-Objective Unconstrained Binary Quadratic Programming Problem. In Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang, editors, Bio-inspired Computing - Theories and Applications - 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II. Volume 682 of Communications in Computer and Information Science, pages 10-19, Springer, 2016. [doi]
@inproceedings{HuoZWS16-0,
title = {A Multi-parent Crossover Based Genetic Algorithm 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 = {10.1007/978-981-10-3614-9_2},
url = {http://dx.doi.org/10.1007/978-981-10-3614-9_2},
researchr = {https://researchr.org/publication/HuoZWS16-0},
cites = {0},
citedby = {0},
pages = {10-19},
booktitle = {Bio-inspired Computing - Theories and Applications - 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II},
editor = {Maoguo Gong and Linqiang Pan and Tao Song and Gexiang Zhang},
volume = {682},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-981-10-3613-2},
}