Novel virtual fitness evaluation framework for fitness landscape learning evolutionary computation
Taku Hasegawa, Kaname Matsumura, Kaiki Tsuchie, Naoki Mori, Keinosuke Matsumoto · 2014
Introducing the machine learning technique into evolutionary computation (EC) is one of the most important issues to expand EC design. In this paper, we proposed a novel method that combines the genetic algorithm and support vector machine to achieve the imaginary evolution without real fitness evaluations.