A Group-based Approach to Improve Multifactorial Evolutionary Algorithm

Jing Tang, Yingke Chen, Zixuan Deng, Yanping Xiang, Colin Joy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

69 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Place of Publication	Stockholm
Pages	3870-3876
Number of pages	6
ISBN (Electronic)	978-0-9992411-2-7
DOIs	https://doi.org/10.24963/ijcai.2018/538
Publication status	Published - 19 Jul 2018

Access to Document

@inproceedings{b6ebe7010035437da8058f0821858c1c,

title = "A Group-based Approach to Improve Multifactorial Evolutionary Algorithm",

author = "Jing Tang and Yingke Chen and Zixuan Deng and Yanping Xiang and Colin Joy",

year = "2018",

month = jul,

day = "19",

doi = "10.24963/ijcai.2018/538",

language = "English",

pages = "3870--3876",

booktitle = "Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence",

}

TY - GEN

T1 - A Group-based Approach to Improve Multifactorial Evolutionary Algorithm

AU - Tang, Jing

AU - Chen, Yingke

AU - Deng, Zixuan

AU - Xiang, Yanping

AU - Joy, Colin

PY - 2018/7/19

Y1 - 2018/7/19

U2 - 10.24963/ijcai.2018/538

DO - 10.24963/ijcai.2018/538

M3 - Conference contribution

SP - 3870

EP - 3876

BT - Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

CY - Stockholm

ER -