Generational Replacement and Learning for High-Performing and Diverse Populations in Evolvable Robots

Bibliographic Details
Title: Generational Replacement and Learning for High-Performing and Diverse Populations in Evolvable Robots
Authors: de Bruin, K. Ege, Glette, Kyrre, Ellefsen, Kai Olav
Source: 2025 IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems (ALIFE-CIS) Computational Intelligence in Artificial Life and Cooperative Intelligent Systems (ALIFE-CIS), 2025 IEEE Symposium on. :1-7 Mar, 2025
Relation: 2025 IEEE Symposium on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems (ALIFE-CIS)
Database: IEEE Xplore Digital Library