AIMC Topic: Biological Evolution

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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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A novel belief rule base expert system with interval-valued references.

Scientific reports Apr 26, 2022
As an essential parameter in the belief rule base (BRB), referential values refer to evaluation criteria for describing attributes using quantitative data or linguistic terms, the rationality and preciseness of which are important to the modeling acc...
Algorithms Expert Systems Uncertainty Biological Evolution
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Machine learning in evolutionary studies comes of age.

Proceedings of the National Academy of Sciences of the United States of America Apr 19, 2022
Machine Learning Algorithms Biological Evolution
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Medical Image Captioning Using Optimized Deep Learning Model.

Computational intelligence and neuroscience Mar 9, 2022
Medical image captioning provides the visual information of medical images in the form of natural language. It requires an efficient approach to understand and evaluate the similarity between visual and textual elements and to generate a sequence of ...
Algorithms Language Deep Learning Benchmarking Biological Evolution
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Discovering Parametric Activation Functions.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2022
Recent studies have shown that the choice of activation function can significantly affect the performance of deep learning networks. However, the benefits of novel activation functions have been inconsistent and task dependent, and therefore the rect...
Neural Networks, Computer Biological Evolution
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The automatic parameter-exploration with a machine-learning-like approach: Powering the evolutionary modeling on the origin of life.

PLoS computational biology Dec 29, 2021
The origin of life involved complicated evolutionary processes. Computer modeling is a promising way to reveal relevant mechanisms. However, due to the limitation of our knowledge on prebiotic chemistry, it is usually difficult to justify parameter-s...
Machine Learning Algorithms Computer Simulation Computational Biology Models, Biological Biological Evolution Origin of Life
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Comprehensive Evaluation of Tourism Resources Based on Multispecies Evolutionary Genetic Algorithm-Enabled Neural Networks.

Computational intelligence and neuroscience Dec 14, 2021
With the development of neural network technology and the rapid growth of China's tourism economic income at this stage, the research on the comprehensive evaluation of tourism resources has gradually emerged. Based on this, this paper studies the ne...
Neural Networks, Computer Algorithms Technology China Tourism Biological Evolution
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Coalescent-based species delimitation meets deep learning: Insights from a highly fragmented cactus system.

Molecular ecology resources Oct 31, 2021
Delimiting species boundaries is a major goal in evolutionary biology. An increasing volume of literature has focused on the challenges of investigating cryptic diversity within complex evolutionary scenarios of speciation, including gene flow and de...
Phylogeny Deep Learning Bayes Theorem Species Specificity Biological Evolution Gene Flow Cactaceae
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HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms.

Sensors (Basel, Switzerland) Oct 19, 2021
Human activity recognition (HAR) based on wearable sensors is a promising research direction. The resources of handheld terminals and wearable devices limit the performance of recognition and require lightweight architectures. With the development of...
Humans Neural Networks, Computer Algorithms Wearable Electronic Devices Human Activities Biological Evolution
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