Data and measurement mechanism integrated imaging method for electrical capacitance tomography

J Lei, Q Liu - Applied Soft Computing, 2024 - Elsevier
This study presents a new imaging paradigm for overcoming the challenges limiting the
improvement of the imaging quality in the electrical capacitance technique. The new …

A Study on the Genetic Algorithm Optimization of an Asphalt Mixture's Viscoelastic Parameters Based on a Wheel Tracking Test

J Zhang, W Zhou, D Cao, J Zhang - Infrastructures, 2023 - mdpi.com
The generalized Maxwell (GM) constitutive model has been widely applied to characterize
the viscoelastic properties of asphalt mixtures. The parameters (Prony series) of the GM are …

Gender-Driven English Speech Emotion Recognition with Genetic Algorithm

L Yue, P Hu, J Zhu - Biomimetics, 2024 - mdpi.com
Speech emotion recognition based on gender holds great importance for achieving more
accurate, personalized, and empathetic interactions in technology, healthcare, psychology …

On the existence of an upper critical dimension for systems within the KPZ universality class

EA Rodrigues, FA Oliveira, BA Mello - arXiv preprint arXiv:1502.06121, 2015 - arxiv.org
In this work we extend the etching model to $ d+ 1$ dimensions. This permits us to
investigate its exponents behaviour on higher dimensions, to try to verify the existence of an …

Modeling manufacturing resources based on manufacturability features

C Zhao, C Ma, H Zhang, Z Ma, J Yang, M Li, X Wang… - Scientific Reports, 2022 - nature.com
Manufacturability evaluation is an effective way to shorten the development period, optimize
manufacturing processes, and reduce product costs. The manufacturability of a product …

Convergence analysis of an elitist non-homogeneous genetic algorithm with mutation probability adjusted by a fuzzy controller

AGC Pereira, JAF Roveda, LA Carlos… - 2013 Joint IFSA …, 2013 - ieeexplore.ieee.org
In recent years, several attempts to improve the efficiency of the Canonical Genetic
Algorithm have been presented. The advantage of the elitist non-homogeneous genetic …

Modelagem dos algorítmos genético simples e simulated annealing por cadeias de Markov

R Neto, J Cecílio - 2010 - bdtd.ibict.br
Os Algoritmos Genético (AG) e o Simulated Annealing (SA) são algoritmos construídos para
encontrar máximo ou mínimo de uma função que representa alguma característica do …

[PDF][PDF] Convergence analysis of an elitist non-homogeneous genetic algorithm with crossover/mutation probabilities adjusted by a fuzzy controller.

A Pereira, V Campos, J Roveda, F Santana… - Chilean Journal of …, 2018 - soche.cl
In recent years, several attempts to improve the efficiency of the canonical genetic algorithm
have been presented. The advantage of the elitist non-homogeneous genetic algorithm is …

Multistage non homogeneous Markov chain modeling of the non homogeneous genetic algorithm and convergence results

AGC Pereira, VSM Campos - Communications in Statistics-Theory …, 2016 - Taylor & Francis
Genetic algorithms (GAs), in the homogeneous as well as the non homogeneous version,
have been widely used to solve combinatorial global optimization problems. Despite the …

Mean Convergence Time of Inhomogeneous Genetic Algorithm with Elitism

JAR Cruz, IC Diniz - Numerical Functional Analysis and …, 2016 - Taylor & Francis
The theoretical study of a genetic algorithm (GA) has focused mainly on establishing its
convergence in probability and almost always to the global optimum. In this article, we …