Model approach to grammatical evolution: theory and case study
P He, Z Deng, H Wang, Z Liu - Soft Computing, 2016 - Springer
Many deficiencies with grammatical evolution (GE) such as inconvenience in solution
derivations, modularity analysis, and semantic computing can partly be explained from the …
derivations, modularity analysis, and semantic computing can partly be explained from the …
[图书][B] Modelling flow-induced vibrations of gates in hydraulic structures
CD Erdbrink - 2014 - dare.uva.nl
Flood defence systems are of paramount importance for the safety of vulnerable low‐lying
areas. In coastal and riverine regions civil engineering structures are built to control the …
areas. In coastal and riverine regions civil engineering structures are built to control the …
Using covariance matrix adaptation evolution strategies for solving different types of differential equations
JM Chaquet, EJ Carmona - Soft Computing, 2019 - Springer
A novel mesh-free heuristic method for solving differential equations is proposed. The new
approach can cope with linear, nonlinear, and partial differential equations (DE), and …
approach can cope with linear, nonlinear, and partial differential equations (DE), and …
Genetic Programming visitation scheduling solution can deliver a less austere COVID-19 pandemic population lockdown
D Howard - arXiv preprint arXiv:2006.10748, 2020 - arxiv.org
A computational methodology is introduced to minimize infection opportunities for people
suffering some degree of lockdown in response to a pandemic, as is the 2020 COVID-19 …
suffering some degree of lockdown in response to a pandemic, as is the 2020 COVID-19 …
Engineering presentation of the stochastic interpolation framework and its applications
D Howard, J Kolibal, A Brezulianu - Soft Computing, 2011 - Springer
The paper is an engineering exposition of the Stochastic Interpolation Framework, a novel
mathematical approach to data regularization, which recovers a function from input data that …
mathematical approach to data regularization, which recovers a function from input data that …
Modeling Systems of Ordinary Differential Equations Using Immune Based Gene Expression Programming
S Xue, J Wu - 2015 7th International Conference on Intelligent …, 2015 - ieeexplore.ieee.org
This paper aims to model system of ordinary differential equations by using a new hybrid
gene expression programming algorithm. Gene expression programming is a recently …
gene expression programming algorithm. Gene expression programming is a recently …
Evolutionary Design of Numerical Methods: Generating Finite Difference and Integration Schemes by Differential Evolution
CD Erdbrink, VV Krzhizhanovskaya… - arXiv preprint arXiv …, 2013 - arxiv.org
Classical and new numerical schemes are generated using evolutionary computing.
Differential Evolution is used to find the coefficients of finite difference approximations of …
Differential Evolution is used to find the coefficients of finite difference approximations of …