Results 81 to 90 of about 1,570 (213)
Neuroevolution-Based Efficient Field Effect Transistor Compact Device Models
IEEE Access, 2021 Artificial neural networks (ANN) and multilayer perceptrons (MLP) have proved to be efficient in terms of designing highly accurate semiconductor device compact models (CM).
Ya-Wen Ho +6 more
doaj +1 more source
On the Preservation of Input/Output Directed Graph Informativeness Under Crossover
Complexity, Volume 2026, Issue 1, 2026.There exists a broad class of networks that connect inputs to outputs. These networks include chemical transformation networks, electrical circuits, municipal water systems, and neural networks. The goals of this paper are to provide a theoretical foundation for evolutionary crossover on this class of graphs and connect crossover to informativeness, a ...
Andreas Duus Pape +4 more
wiley +1 more source
Modular neuroevolution for multilegged locomotion [PDF]
Proceedings of the 10th annual conference on Genetic and evolutionary computation, 2008 Legged robots are useful in tasks such as search and rescue because they can effectively navigate on rugged terrain. However, it is difficult to design controllers for them that would be stable and robust. Learning the control behavior is difficult because optimal behavior is not known, and the search space is too large for reinforcement learning and ...
Vinod K. Valsalam, Risto Miikkulainen
openaire +1 more source
Modularity Based Linkage Model For Neuroevolution
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023 Crossover between neural networks is considered disruptive due to the strong functional dependency between connection weights. We propose a modularity-based linkage model at the weight level to preserve functionally dependent communities (building blocks) in neural networks during mixing. A proximity matrix is built by estimating the dependency between
Yukai Qiao, Marcus Gallagher
openaire +3 more sources
Advanced Science, Volume 12, Issue 46, December 11, 2025.The paper proposes that the root cause of aging is the loss of anatomical goal‐directedness after development. Using evolutionary neural cellular automata simulations, the authors show that after the organism has reached its developmental homeostatic setpoint (the adult morphology), the absence of target state to pursue leads to a drifting anatomical ...
Léo Pio‐Lopez +2 more
wiley +1 more source
JOIV: International Journal on Informatics Visualization, 2021 Diabetes in Indonesia has been perceived as a grave health problem and has been a concern since the early 1980’s [2]. The prevalence of diabetes in adults in Indonesia, as stated by IDF, was 6.2% with the total case amounting to 10.681.400.
A.B.M. Wijaya +3 more
doaj +1 more source
Neuroevolution of recurrent architectures on control tasks
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022 Modern artificial intelligence works typically train the parameters of fixed-sized deep neural networks using gradient-based optimization techniques. Simple evolutionary algorithms have recently been shown to also be capable of optimizing deep neural network parameters, at times matching the performance of gradient-based techniques, e.g.
Maximilien Le Clei, Pierre Bellec
openaire +2 more sources
Advanced Science, Volume 12, Issue 40, October 27, 2025.This research introduces a facile and scalable FB‐CVD strategy for synthesizing high‐crystallinity, multilayer Gr‐skinned Al2O3 powders, specifically designed for advanced thermal management applications. The continuous graphene skin establishes a comprehensive heat transfer network, ensuring efficient heat dissipation.
Yuzhu Wu +27 more
wiley +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Advanced Intelligent Systems, Volume 7, Issue 10, October 2025.Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi +6 more
wiley +1 more source
A Neuroevolutionary Approach to Controlling Traffic Signals Based on Data from Sensor Network
Sensors, 2019 The paper introduces an artificial neural network ensemble for decentralized control of traffic signals based on data from sensor network. According to the decentralized approach, traffic signals at each intersection are controlled independently using ...
Marcin Bernas +2 more
doaj +1 more source