Evolutionary multi-objective optimization of autonomous mobile robots in neural-based cognition for behavioural robustness
The utilization of a multi-objective approach for evolving artificial neural networks that act as the controllers for phototaxis and radio frequency (RF) localization behaviors of a virtual Khepera robot simulated in a 3D, physics-based environment is discussed in this chapter. It explains the compa...
Main Authors: | , , |
---|---|
Format: | Chapter In Book |
Language: | English |
Published: |
IGI Global
2009
|
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/20546/1/Evolutionary%20multi.pdf |