International Journal of Advances in Computer Science and Its Applications
Author(s) : OSWALDO E. VELEZ-LANGS
This critical-reflexive paper is based on the known problem presented in the Exploration-Exploitation Dilemma (EED) when working with Evolutionary Algorithms (EAs) and focusing on proposals that put forward, in this case, both a traditional ap-proach as well as more recent approaches that manage population solutions (individu-als) differently than the standard EAs, that is: The Learnable Evolutionary Model (LEM) and the Distribution Estimation Algorithms (DEA).