Fusion of Coevolutionary GA and machine learning techniques through effective schema extraction
Hisashi Handa, Takayuki Kaneko, Tadashi Horiuchi, Tadataka KONISHI, Osamu Katai, Mitsuru Baba · 2001
A new Coevolutionary GA is introduced with an ability of schema extraction by machine learning techniques. Considerable improvement of its search ability is done by extracting more efficiently useful schemata from the GA population and then by utilizing them. We examine and compare two kinds of machine learning techniques (C4.5 and CN2) to extract schema information.