In this study we propose the application of Evolutionary Computation techniques to create models for driving behaviour characterisation over data acquired from ...
In this study we propose the application of Evolutionary Computation techniques to create models for driving behaviour characterisation over data acquired from ...
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Driving Cars by Means of Genetic Algorithms - ResearchGate
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Nov 21, 2024 · This paper proposes and describes in detail an evolved behaviour based controller that combines the good response time of behaviour based ...
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This work focused on implementing, training, and optimizing a convolutional neural network (CNN) model, aiming to predict the steering angle during driving.
This method optimizes the weights of a deep neural network through evolutionary algorithms, thereby improving the quality of derived policies. It demonstrates ...
Jul 12, 2014 · In this paper, we present evolutionary racer (EVOR) a simulated car dynamically controlled by an online evolutionary algorithm (EA).
GP uses an evolutionary search to derive small programs, operators or models. In most cases, GP is used to solve different kinds of ML tasks, with the most ...
The selection of the best controller at the end of the evolution was based on a set of races among the best 4 solutions, getting a better driver than in ...
Sep 12, 2024 · Evolutionary computation has also provided a powerful driving force for the optimization and improvement of deep learning models. In this paper, ...