Results 21 to 30 of about 4,498 (200)
Two-Level Genetic Algorithm for Evolving Convolutional Neural Networks for Pattern Recognition
IEEE Access, 2021 The aim of Neuroevolution is to find neural networks and convolutional neural network (CNN) architectures automatically through evolutionary algorithms.
Daniel A. Montecino +2 more
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Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution [PDF]
, 2018 Many real-world control and classification tasks involve a large number of features. When artificial neural networks (ANNs) are used for modeling these tasks, the network architectures tend to be large.
Fletcher, George +4 more
core +2 more sources
Neuroevolutive Algorithms for Learning Gaits in Legged Robots
IEEE Access, 2019 Gait generation for legged robots is a challenging task typically requiring either a hand-tuning design or a kinematic model of the robot morphology to compute the movements, generating a high computational and time efforts.
Pablo Reyes, Maria-Jose Escobar
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European Journal of Privacy Law & Technologies, 2022 The technological revolution in the fields of robotics and artificial intelligence seems to indicate a future shift in our human-centered social paradigm towards a greater inclusion of artificial cognitive agents in our everyday environments ...
Sergio Guida
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An adaptive neuroevolution-based hyperheuristic [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020 TIN2016-78365R BERC 2014-2017 Research Groups 2013-2018 (IT-609-13).
Etor Arza +3 more
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A Study of Generalization and Fitness Landscapes for Neuroevolution
IEEE Access, 2020 Fitness landscapes are a useful concept for studying the dynamics of meta-heuristics. In the last two decades, they have been successfully used for estimating the optimization capabilities of different flavors of evolutionary algorithms, including ...
Nuno M. Rodrigues +2 more
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Deep Neuroevolution of Recurrent and Discrete World Models [PDF]
, 2019 Neural architectures inspired by our own human cognitive system, such as the recently introduced world models, have been shown to outperform traditional deep reinforcement learning (RL) methods in a variety of different domains. Instead of the relatively
Asai Masataro +4 more
core +3 more sources
A Study of Fitness Landscapes for Neuroevolution [PDF]
2020 IEEE Congress on Evolutionary Computation (CEC), 2020 IEE CEC ...
Nuno M. Rodrigues +2 more
openaire +2 more sources
Face Patches Designed Through Neuroevolution for Face Recognition With Large Pose Variation
IEEE Access, 2023 Face Recognition (FR) has been a widely used biometric technique for identity authentication in various domains. Despite the remarkable progress in the field of FR during the past few years, there are still challenges that need to be addressed, including
Juan P. Perez, Claudio A. Perez
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IEEE Access, 2020 Chaos is widespread in non-linear systems such as finance, energy, and weather. In the chaos system, a variable changing with time generates a chaotic time series, which contains a wealth of information about the non-linear system, and it is helpful for ...
Weijian Huang, Yongtao Li, Yuan Huang
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