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...
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| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
IGI Global
2009
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/20546/1/Evolutionary%20multi.pdf https://eprints.ums.edu.my/id/eprint/20546/ https://doi.org/10.4018/978-1-60566-766-9.ch028 |
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