Centroid-based memetic algorithm : adaptive Lamarckian and Baldwinian learning

• Main Authors: Kheng, Cheng Wai, Chong, Siang Yew, Lim, Meng-Hiot
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
• 在線閱讀: https://hdl.handle.net/10356/98662; http://hdl.handle.net/10220/17110
• 機構: Nanyang Technological University

The application of specific learning schemes in memetic algorithms (MAs) can have significant impact on their performances. One main issue revolves around two different learning schemes, specifically, Lamarckian and Baldwinian. It has been shown that the two learning schemes are better suited for di...