Evolutionary multi-objective optimization for automatic synthesis of artificial neural network robot controllers
This paper investigates the use of a multi-objective approach for evolving artificial neural networks that act as controllers for the legged locomotion of a quadrupedal robot simulated in a 3-dimensional, physics-based environment. The Pareto-frontier Differential Evolution (PDE) algorithm is used t...
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| Format: | Article |
| Language: | English |
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University of Malaya
2005
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| Online Access: | https://eprints.ums.edu.my/id/eprint/3512/1/Evolutionary_multi-objective_optimization_for_automatic_synthesis_of_artificial_neural_network_robot_controllers.pdf https://eprints.ums.edu.my/id/eprint/3512/ http://ejum.fsktm.um.edu.my/article/341.pdf |
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