Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Causal neural control of a latching ocean wave point absorber
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
An intelligent adaptive control scheme for postsurgical blood pressure regulation
IEEE Transactions on Neural Networks
Rapid evaluation and evolution of neural models using graphics card hardware
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A biologically inspired neural CPG for sea wave conditions/frequencies
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
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Propulsion in the lamprey, an eel-like fish, is governed by activity in its spinal neural network (called a central pattern generator (CPG)). This CPG is simulated, in accordance with Ekeberg's original model, and optimised alternatives are generated with genetic algorithms (GAs). A two-phase GA is adopted: (1) to evolve neuron-descriptive parameters and synaptic weights of the neural oscillator for a single lamprey segment, (2) to generate interconnections between segments. Results demonstrate that Ekeberg's prototype is not a unique solution and that simpler versions with wider operational ranges can be generated. Evolved solutions outperform the swimming capabilities of a modelled biological organism, as an initial step in understanding how to control wave power devices, with similar motion to the lamprey.