@inbook {Alcal{\'a}2008,
	title = {On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection},
	booktitle = {Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases},
	year = {2008},
	pages = {91{\textendash}107},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {In the last years, multi-objective genetic algorithms have been successfully applied to obtain Fuzzy Rule-Based Systems satisfying different objectives, usually different performance measures.},
	isbn = {978-3-540-77467-9},
	doi = {10.1007/978-3-540-77467-9_5},
	url = {https://doi.org/10.1007/978-3-540-77467-9_5},
	author = {Alcal{\'a}, R. and Alcal{\'a}-Fdez, J. and M. J. Gacto and F. Herrera},
	editor = {Ghosh, Ashish and Dehuri, Satchidananda and Ghosh, Susmita}
}
@inbook {Cano2005,
	title = {Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining},
	booktitle = {Evolutionary Computation in Data Mining},
	year = {2005},
	pages = {21{\textendash}39},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {Evolutionary algorithms are adaptive methods based on natural evolution that may be used for search and optimization. As instance selection can be viewed as a search problem, it could be solved using evolutionary algorithms.},
	isbn = {978-3-540-32358-7},
	doi = {10.1007/3-540-32358-9_2},
	url = {https://doi.org/10.1007/3-540-32358-9_2},
	author = {J. R. Cano and F. Herrera and Lozano, Manuel},
	editor = {Ghosh, Ashish and Jain, Lakhmi C.}
}
