genetic algorithm with SQP for epidemic models

i am interested to solve epidemic models like sir model, seir model using feed forward neural networl with activation function. I want to use genetic algorithm with SQP to optimize the parameters. Any one can help me in this regard please.

Answer 1

[Swastik Sarkar]

Hi @FORHAD,

The following example from the MathWorks File Exchange can assist in getting started with modeling disease spread using an SEIR model in MATLAB

https://www.mathworks.com/matlabcentral/fileexchange/106400-modeling-disease-spread-using-an-seir-model

The overall structure of the code should resemble the following:

% Define Model & Fitness Function
net = feedforwardnet([10, 10]);
fitnessFunction = @(params) evaluateModel(params, net, data);

% Run GA
[bestParams, fval] = ga(fitnessFunction, ...);

options = optimoptions('fmincon', 'Algorithm', 'sqp');
% Run SQP
[refinedParams, fval] = fmincon(fitnessFunction, bestParams, ...);

Hope this helps you.