Centroid-based memetic algorithm : adaptive Lamarckian and Baldwinian learning

• المؤلفون الرئيسيون: Kheng, Cheng Wai, Chong, Siang Yew, Lim, Meng-Hiot
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/98662; http://hdl.handle.net/10220/17110
• المؤسسة: 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...