Background COVID-19 caused a worldwide outbreak leading the majority of human
activities to a rough breakdown. Many stakeholders proposed multiple interventions to slow …

Solving the parameter identification problem of mathematical models using genetic
algorithms - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & …

The nonlinear two-point boundary value problem with parameter for systems of ordinary
differential equations is investigated by the parametrization method. The method consists in …

In this study, parameter estimation in mathematical models using the real coded genetic
algorithms (RCGA) approach is presented. Although the RCGA is similar with the binary …

Researchers using ordinary differential equations to model phenomena face two main
challenges among others: implementing the appropriate model and optimizing the …

We suggest a method for generating a surface approximating the given data (xi, yi, zi) ϵ R 3,
i= 1,…. m, assuming that the errors can occur both in the independent variables x and y, as …

In this paper we prove the existence theorem for the best least squares approximation of the
optimal parameters for the exponential model function. We give sufficient conditions which …

In this paper we propose a new method for the parameter identification in new product
diffusion models. The method can be used regardless of whether the analytical solution of …

Given the data (pi, ti, yi), i= 1,…, m, m⩾ 3, we give necessary and sufficient conditions which
guarantee the existence of the least squares estimate for a 3-parametric exponential …

In this paper, the parameter identification problem of a class of time-delay chaotic systems is
studied based on the method of target systems. First of all, this paper gives a time-delay …