N. Chakraborti. How multi-objective genetic algorithms handle lack of data, sparse data and excess data: evaluation of some recent case studies in the materials domain. Statistical Analysis and Data Mining, 1(5):322-328, 2009. [doi]
@article{Chakraborti09,
title = {How multi-objective genetic algorithms handle lack of data, sparse data and excess data: evaluation of some recent case studies in the materials domain},
author = {N. Chakraborti},
year = {2009},
doi = {10.1002/sam.10025},
url = {http://dx.doi.org/10.1002/sam.10025},
tags = {case study, data-flow},
researchr = {https://researchr.org/publication/Chakraborti09},
cites = {0},
citedby = {0},
journal = {Statistical Analysis and Data Mining},
volume = {1},
number = {5},
pages = {322-328},
}