Results 171 to 180 of about 1,570 (213)
Multiscale Simulation of Nanowear-Resistant Coatings. [PDF]
Materials (Basel)Liu X, Gao K, Chen P, Yin L, Yang J.
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Recombination and Novelty in Neuroevolution: A Visual Analysis [PDF]
SN Computer Science, 2022 Neuroevolution has re-emerged as an active topic in the last few years. However, there is a lack of accessible tools to analyse, contrast and visualise the behaviour of neuroevolution systems.
Stefano Sarti +2 more
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Neuroevolution-based autonomous robot navigation: A comparative study
Cognitive Systems Research, 2020 Neuroevolution-based autonomous robot navigation: A comparative ...
Seyed Mohammad Jafar Jalali +2 more
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An advanced deep neuroevolution model for probabilistic load forecasting
Electric Power Systems Research, 2022 An advanced deep neuroevolution model for probabilistic load ...
Seyed Mohammad Jafar Jalali +2 more
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Neuroevolution for adaotive teams
The 2003 Congress on Evolutionary Computation, 2003. CEC '03., 2004We introduce the adaptive team of agents (ATA), a system of homogeneous agents with identical control policies which nevertheless adopt heterogeneous roles appropriate to their environment. ATAs have applications in domains such as games, and can be evolved through neuroevolution. In this paper we show how ATAs can be evolved to solve the problem posed
Bobby D. Bryant, Risto Miikkulainen
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Numerical optimization with neuroevolution
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003Neuroevolution techniques have been successful in many sequential decision tasks, such as robot control and game playing. This paper aims at establishing whether they can be useful in numerical optimization more generally, by comparing neuroevolution to linear programming in a manufacturing optimization domain.
Brian Greer +3 more
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Mutational puissance assisted neuroevolution
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020Artificial Neural Networks (ANN) are often trained using back-propagation, wherein the interconnection weights are determined based on the error gradient. ANNs have also been evolved using neuroevolutionary techniques. The weights in such ANNs are updated randomly by Gaussian mutation.
Divya D. Kulkarni 0001 +1 more
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Annals of the New York Academy of Sciences, 2011
There is strong evidence that empathy has deep evolutionary, biochemical, and neurological underpinnings. Even the most advanced forms of empathy in humans are built on more basic forms and remain connected to core mechanisms associated with affective communication, social attachment, and parental care.
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There is strong evidence that empathy has deep evolutionary, biochemical, and neurological underpinnings. Even the most advanced forms of empathy in humans are built on more basic forms and remain connected to core mechanisms associated with affective communication, social attachment, and parental care.
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Automated feature selection in neuroevolution
Evolutionary Intelligence, 2009Feature selection is a task of great importance. Many feature selection methods have been proposed, and can be divided generally into two groups based on their dependence on the learning algorithm/classifier. Recently, a feature selection method that selects features at the same time as it evolves neural networks that use those features as inputs ...
TAN, Maxine Yen Ling +3 more
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Neuroevolution in Dynamically Changing Environments
The 2020 Conference on Artificial Life, 2020One goal of the Artificial Life field is to achieve a computational system with a complex richness similar to that of biological life.
Jory Schossau, Arend Hintze
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