Does genetic algorithm take a long time to find a solution?

Hi all,

I am using the genetic algorithm to find the solution for 28 kinetic rates. The system consists of 14 ODEs and 9 time course data points. I use dde23 to solve the equations. It seems that GA is really slow. I set the display option as 'iter'. I did not get output after running my program overnight. This is the first time that I use GA optimization so that I am not sure if my case is usual. Any comment is appreciated. Thank you.

Wendy

[Star Strider]

Did you change your code so the sum squared error is the value you are minimising, and not its inverse?

Answer 1

[Prateekshya]

Hi Wendy,

I understand that Genetic Algorithm is taking more time than expected in your case. Here are a few troubleshooting steps:

• Set appropriate tolerances for the ODE solver to balance accuracy and speed.If possible, vectorize the calculations within the ODE function to speed up evaluations.
• MATLAB's Global Optimization Toolbox supports parallel computing, which can significantly speed up GA evaluations by distributing them across multiple cores or workers.

options = optimoptions('ga', 'UseParallel', true, 'Display', 'iter');

• You may reduce the Population Size and Generations for the first iteration and increase it later if needed. You may also try using custom initial population.

I hope this helps!

Thank you.