7.4 Artificial bee colony in real world applications 155
in the perspective of clustering analysis and to improve the performance of fuzzy c-means
clustering, they proposed an ABC with fuzzy c-means [63].
A concept for machine learning integrates a grid scheme into a least-squares support
vector machine (called GS-LSSVM) for classification problems, where ABC is used to
optimize parameters for LSSVM learning [60].
The work in [62] proposes a new feature selection method based on rough set the-
ory hybrid with BCO in an attempt to combat this. This proposed work is applied in
the medical domain to find the minimal reducts and experimentally compared with the
quick reduct, entropy-based reduct, and other hybrid rough set methods such as genetic
algorithm ...