Solving nonlinear equation systems via clustering-based adaptive speciation differential evolution
In numerical computation, locating multiple roots of nonlinear equations (NESs) in a single run is a challenging work. In order to solve the problem of population grouping and parameters settings during the evolutionary, a clustering-based adaptive speciation differential evolution, referred to as C...
Enregistré dans:
Auteurs principaux: | Qishuo Pang, Xianyan Mi, Jixuan Sun, Huayong Qin |
---|---|
Format: | article |
Langue: | EN |
Publié: |
AIMS Press
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4eacf77d8f504f80a86c42dc480c5dcf |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Crank-Nicholson difference scheme for the system of nonlinear parabolic equations observing epidemic models with general nonlinear incidence rate
par: Allaberen Ashyralyev, et autres
Publié: (2021) -
Mathematical aspects of nonlinear dispersive equations
Publié: (2007) -
An adaptive differential evolution with decomposition for photovoltaic parameter extraction
par: Zhen Yan, et autres
Publié: (2021) -
Traveling Wave Solutions to the Nonlinear Evolution Equation Using Expansion Method and Addendum to Kudryashov’s Method
par: Hammad Alotaibi
Publié: (2021) -
Classes of new analytical soliton solutions to some nonlinear evolution equations
par: Yan Cao, et autres
Publié: (2021)