Results 71 to 80 of about 1,570 (213)
Neuroevolution with Analog Genetic Encoding [PDF]
, 2006 The evolution of artificial neural networks (ANNs) is often used to tackle difficult control problems. There are different approaches to the encoding of neural networks in artificial genomes. Analog Genetic Encoding (AGE) is a new implicit method derived from the observation of biological genetic regulatory networks.
Peter Dürr +2 more
openaire +1 more source
Small Structures, Volume 7, Issue 6, June 2026.Multiscale modeling of battery systems combines quantum‐mechanical calculations, atomistic simulations, and mesoscale phase‐field approaches to describe processes spanning from reaction energetics to morphology evolution. Establishing consistent links between these scales remains a key challenge, particularly for the transfer of physical descriptors ...
Shoutong Jin +3 more
wiley +1 more source
Differential Evolution for Neural Networks Optimization
Mathematics, 2020 In this paper, a Neural Networks optimizer based on Self-adaptive Differential Evolution is presented. This optimizer applies mutation and crossover operators in a new way, taking into account the structure of the network according to a per layer ...
Marco Baioletti +3 more
doaj +1 more source
Neuroevolution: from architectures to learning [PDF]
Evolutionary Intelligence, 2008 Artificial neural networks (ANNs) are applied to many real-world problems, ranging from pattern clas- sification to robot control. In order to design a neural network for a particular task, the choice of an architecture (including the choice of a neuron model), and the choice of a learning algorithm have to be addressed. Evolutionary search methods can
Dario Floreano +2 more
openaire +1 more source
Transforming Grain‐Boundary Brittle Precipitates to Ductility Pathways in Complex Concentrated Alloy
Advanced Science, Volume 13, Issue 19, 2 April 2026.By engineering graded BCC/L12 interfaces, brittle precipitates in a complex concentrated alloy enable sequential deformation, realizing gigapascal strength with >20% elongation to solve the strength‐ductility trade‐off. ABSTRACT Conventional wisdom holds that hard grain‐boundary (GB) precipitates embrittle structural alloys by acting as crack ...
Zhixin Li +14 more
wiley +1 more source
Materials Genome Engineering Advances, Volume 4, Issue 1, March 2026.We develop an efficient GPU implementation of the hybrid Monte Carlo and molecular dynamics method in the GPUMD package and use it, in combination with the neuroevolution potential, to simulate the segregation of 15 solutes in polycrystalline Al, revealing distinct segregation patterns and the mechanisms of solute strengthening and embrittlement ...
Keke Song +6 more
wiley +1 more source
Psycholinguistics and the Search for Extraterrestrial Intelligence [PDF]
Философия и космология, 2017 The author of the article reveals the possibilities of psycholinguistics in the identifi cation and interpretation of languages and texts of Alien Civilizations.
Lidija Krotenko
doaj
Quality Diversity: A New Frontier for Evolutionary Computation
Frontiers in Robotics and AI, 2016 While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization.
Justin K Pugh +2 more
doaj +1 more source
Neuroevolution trajectory networks : illuminating the evolution of artificial neural networks [PDF]
, 2023 Neuroevolution is the discipline whereby ANNs are automatically generated using EC. This field began with the evolution of dense (shallow) neural networks for reinforcement learning task; neurocontrollers capable of evolving specific behaviours as ...
Sarti, Stefano
core
MathematicsThe optimization of Artificial Neural Networks (ANNs) remains a significant challenge in machine learning, particularly in overcoming local-optima limitations during training.
Hyasseliny A. Hurtado-Mora +5 more
doaj +1 more source