Oliver Cuate, Oliver Schütze. Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms. In Kalyanmoy Deb, Erik D. Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick Reed, editors, Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Volume 11411 of Lecture Notes in Computer Science, pages 203-215, Springer, 2019. [doi]
@inproceedings{CuateS19,
title = {Variation Rate: An Alternative to Maintain Diversity in Decision Space for Multi-objective Evolutionary Algorithms},
author = {Oliver Cuate and Oliver Schütze},
year = {2019},
doi = {10.1007/978-3-030-12598-1_17},
url = {https://doi.org/10.1007/978-3-030-12598-1_17},
researchr = {https://researchr.org/publication/CuateS19},
cites = {0},
citedby = {0},
pages = {203-215},
booktitle = {Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings},
editor = {Kalyanmoy Deb and Erik D. Goodman and Carlos A. Coello Coello and Kathrin Klamroth and Kaisa Miettinen and Sanaz Mostaghim and Patrick Reed},
volume = {11411},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-12598-1},
}