Hiroaki Fukumoto, Akira Oyama. Study on Improving Efficiency of Multi-Objective Evolutionary Algorithm with Large Population by M2M Decomposition and Elitist Mate Selection Scheme. In IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, November 18-21, 2018. pages 1180-1187, IEEE, 2018. [doi]
@inproceedings{FukumotoO18-1,
title = {Study on Improving Efficiency of Multi-Objective Evolutionary Algorithm with Large Population by M2M Decomposition and Elitist Mate Selection Scheme},
author = {Hiroaki Fukumoto and Akira Oyama},
year = {2018},
doi = {10.1109/SSCI.2018.8628813},
url = {https://doi.org/10.1109/SSCI.2018.8628813},
researchr = {https://researchr.org/publication/FukumotoO18-1},
cites = {0},
citedby = {0},
pages = {1180-1187},
booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, November 18-21, 2018},
publisher = {IEEE},
isbn = {978-1-5386-9276-9},
}