Optimization of convolutional neural network and visual geometry group-16 using genetic algorithms for pneumonia detection. [PDF]
Front Med (Lausanne)Chihaoui M, Dhibi N, Ferchichi A.
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Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
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Retraction notice to "Strategic assessment model of smart stadiums based on genetic algorithms and literature visualization analysis: A case study from Chengdu, China" [Heliyon 10 (2024) e31759]. [PDF]
HeliyonZhu X, Peng X.
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Enhancing random forest model prediction of gas holdup in internal draft airlift loop contactors with genetic algorithms tuning and interpretability. [PDF]
Sci RepPrabhu H +8 more
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Design of Shape Forming Elements for Architected Composites via Bayesian Optimization and Genetic Algorithms: A Concept Evaluation. [PDF]
Materials (Basel)Kazmer DO +3 more
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Modeling the Electrical Activity of the Heart via Transfer Functions and Genetic Algorithms. [PDF]
Biomimetics (Basel)Rodríguez-Abreo O +4 more
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Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection. [PDF]
Brief BioinformCattelani L, Fortino V.
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The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
Genetic Programming and Evolvable Machines, 2002Summary: We introduce a genetic algorithm (GA) with a new representation method which we call the proportional GA (PGA). The PGA is a multi-character GA that relies on the existence or non-existence of genes to determine the information that is expressed.
Annie S. Wu, Ivan I. Garibay
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Artificial Intelligence, 1991zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Evolutionary Computation, 1998The majority of current genetic algorithms (GAs), while inspired by natural evolutionary systems, are seldom viewed as biologically plausible models. This is not a criticism of GAs, but rather a reflection of choices made regarding the level of abstraction at which biological mechanisms are modeled, and a reflection of the more engineering-oriented ...
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