AIMC Topic: Biological Evolution

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A stochastic numerical approach for a class of singular singularly perturbed system.

PloS one Nov 28, 2022
In the present study, a neuro-evolutionary scheme is presented for solving a class of singular singularly perturbed boundary value problems (SSP-BVPs) by manipulating the strength of feed-forward artificial neural networks (ANNs), global search parti...
Neural Networks, Computer Algorithms Reproducibility of Results Exercise Biological Evolution
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Understanding Human Object Vision: A Picture Is Worth a Thousand Representations.

Annual review of psychology Nov 15, 2022
Objects are the core meaningful elements in our visual environment. Classic theories of object vision focus upon object recognition and are elegant and simple. Some of their proposals still stand, yet the simplicity is gone. Recent evolutions in beha...
Humans Neural Networks, Computer Vision, Ocular Visual Perception Biological Evolution Pattern Recognition, Visual
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Analysis of suction-based gripping strategies in wildlife towards future evolutions of the obstetrical suction cup.

Bioinspiration & biomimetics Oct 27, 2022
The design of obstetrical suction cups used for vacuum assisted delivery has not substantially evolved through history despite of its inherent limitations. The associated challenges concern both the decrease of risk of soft tissue damage and failure ...
Animals Animals, Wild Robotics Viscosity Suction Biological Evolution
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A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.

IEEE transactions on neural networks and learning systems Aug 31, 2022
It has been widely recognized that the efficient training of neural networks (NNs) is crucial to classification performance. While a series of gradient-based approaches have been extensively developed, they are criticized for the ease of trapping int...
Neural Networks, Computer Algorithms Biological Evolution
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Evolutionary Shallowing Deep Neural Networks at Block Levels.

IEEE transactions on neural networks and learning systems Aug 31, 2022
Neural networks have been demonstrated to be trainable even with hundreds of layers, which exhibit remarkable improvement on expressive power and provide significant performance gains in a variety of tasks. However, the prohibitive computational cost...
Neural Networks, Computer Algorithms Biological Evolution
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Path planning for autonomous mobile robots using multi-objective evolutionary particle swarm optimization.

PloS one Aug 19, 2022
In this article, a new path planning algorithm is proposed. The algorithm is developed on the basis of the algorithm for finding the best value using multi-objective evolutionary particle swarm optimization, known as the MOEPSO. The proposed algorith...
Algorithms Computer Simulation Robotics Time Biological Evolution
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The origin and evolution of open habitats in North America inferred by Bayesian deep learning models.

Nature communications Aug 17, 2022
Some of the most extensive terrestrial biomes today consist of open vegetation, including temperate grasslands and tropical savannas. These biomes originated relatively recently in Earth's history, likely replacing forested habitats in the second hal...
Ecosystem Phylogeny Deep Learning Bayes Theorem Biological Evolution Fossils
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Evolutionary Game Analysis of Farmers' Conservation Tillage Behavior in Black Soil Areas Guided by Deep Learning.

Computational intelligence and neuroscience Jun 25, 2022
To better protect the rights and interests of farmers, the evolutionary game theory and deep learning (DL) technology are used to analyze the conservation tillage behavior of farmers in black soil areas. Firstly, the basic hypotheses are put forward ...
Humans Soil Deep Learning Farmers Biological Evolution Game Theory
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Usage of Evolutionary Algorithms in Swarm Robotics and Design Problems.

Sensors (Basel, Switzerland) Jun 11, 2022
In this study, the general structure of swarm robotics is examined. Algorithms inspired by nature, which form the basis of swarm robotics, are introduced. Communication topologies in robotic swarms, which are similar to the communication methods betw...
Algorithms Communication Robotics Biological Evolution
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Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization.

BioMed research international May 30, 2022
One of the most well-known methods for solving real-world and complex optimization problems is the gravitational search algorithm (GSA). The gravitational search technique suffers from a sluggish convergence rate and weak local search capabilities wh...
Neural Networks, Computer Algorithms Computer Simulation Gravitation Biological Evolution
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