Results 101 to 110 of about 2,128 (206)
EvoDevo: Bioinspired Generative Design via Evolutionary Graph-Based Development
AlgorithmsAutomated generative design is increasingly used across engineering disciplines to accelerate innovation and reduce costs. Generative design offers the prospect of simplifying manual design tasks by exploring the efficacy of solutions automatically ...
Farajollah Tahernezhad-Javazm +8 more
doaj +1 more source
Using Neuroevolution to Design Neural Networks [special issue]
, 2020 Castelli, M. (Guest ed.), Medvet, E. (Guest ed.), Trujillo, L., & Manzoni, L. (Guest ed.) (2020). Using Neuroevolution to Design Neural Networks. Computational Intelligence And Neuroscience, 2020.Deep learning (DL) has gained popularity in the field of ...
Castelli, Mauro +3 more
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Neuroevolution and complexifying genetic architectures for memory and control tasks [PDF]
, 2008 Inden B. Neuroevolution and complexifying genetic architectures for memory and control tasks. Theory in Biosciences.
Benjamin Inden, Inden, Benjamin
core +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
Learning in fractured problems with constructive neural network algorithms [PDF]
, 2009 textEvolution of neural networks, or neuroevolution, has been a successful approach to many low-level control problems such as pole balancing, vehicle control, and collision warning.
Kohl, Nate F.
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Materials Genome Engineering Advances, Volume 4, Issue 1, March 2026.No abstract is available for this article.
wiley +1 more source
Neuroevolution Principles and Applications
, 2018 The theoretical part of this work deals with evolutionary algorithms (EA), neural networks (NN) and their synthesis in the form of neuroevolution. From a practical point of view, the aim of the work is to show the application of neuroevolution on two ...
Herec, Jan
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Maximizing adaptive power in neuroevolution
PLOS ONE, 2018 In this paper we compare systematically the most promising neuroevolutionary methods and two new original methods on the double-pole balancing problem with respect to: the ability to discover solutions that are robust to variations of the environment, the speed with which such solutions are found, and the ability to scale-up to more complex versions of
Pagliuca Paolo +2 more
openaire +6 more sources
Mathematical and Computational ApplicationsThe common bean is a widely cultivated food source. Many domesticated species of common bean varieties, known as landraces, are cultivated in Mexico by local farmers, exhibiting various colorations and seed mixtures as part of agricultural practices.
José-Luis Morales-Reyes +4 more
doaj +1 more source
Incorporating Advice into Neuroevolution of Adaptive Agents
, 2006 Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Re-cent advances allow neuroevolution to take place in real time, making it possible to e.g.
Risto Miikkulainen +7 more
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