[HTML][HTML] Differential evolution: A recent review based on state-of-the-art works
Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of
evolution and has been studied extensively to solve different areas of optimisation and …
evolution and has been studied extensively to solve different areas of optimisation and …
Comprehensive review of models and methods for inferences in bio-chemical reaction networks
The key processes in biological and chemical systems are described by networks of
chemical reactions. From molecular biology to biotechnology applications, computational …
chemical reactions. From molecular biology to biotechnology applications, computational …
MCMC techniques for parameter estimation of ODE based models in systems biology
GI Valderrama-Bahamóndez… - Frontiers in Applied …, 2019 - frontiersin.org
Ordinary differential equation systems (ODEs) are frequently used for dynamical system
modeling in many science fields such as economics, physics, engineering, and systems …
modeling in many science fields such as economics, physics, engineering, and systems …
Enhancing differential evolution with random neighbors based strategy
H Peng, Z Guo, C Deng, Z Wu - Journal of Computational Science, 2018 - Elsevier
As a powerful evolutionary algorithm for solving the tough global optimization problems,
differential evolution (DE) has drawn more and more attention. However, how to make a …
differential evolution (DE) has drawn more and more attention. However, how to make a …
A cascaded differential evolution optimization framework with adaptive population allocation and reduction
Y Sun, K Zhang, Z Li, Z Liu - Swarm and Evolutionary Computation, 2023 - Elsevier
Differential Evolution (DE)-type algorithms perform efficiently on optimization problems, but
for some problems, single DE-type algorithms still cannot achieve good results. Integrating …
for some problems, single DE-type algorithms still cannot achieve good results. Integrating …
An updated estimation approach for SEIR models with stochastic perturbations: Application to COVID-19 data in Bogotá
This paper studies the updated estimation method for estimating the transmission rate
changes over time. The models for the population dynamics under SEIR epidemic models …
changes over time. The models for the population dynamics under SEIR epidemic models …
Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical …
The novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), has unique epidemiological characteristics that …
syndrome coronavirus 2 (SARS-CoV-2), has unique epidemiological characteristics that …
A two-stage differential evolution algorithm with mutation strategy combination
X Sun, D Wang, H Kang, Y Shen, Q Chen - Symmetry, 2021 - mdpi.com
For most of differential evolution (DE) algorithm variants, premature convergence is still
challenging. The main reason is that the exploration and exploitation are highly coupled in …
challenging. The main reason is that the exploration and exploitation are highly coupled in …
Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers
At the end of 2019, a new coronavirus (COVID-19) epidemic has triggered global public
health concern. Here, a model integrating the daily intercity migration network, which …
health concern. Here, a model integrating the daily intercity migration network, which …