How to Maximize the Performance of Stochastic Optimization Algorithms?

Hello everyone! In this post, I’m going to show you step by step on how to conduct Taguchi experiment design to select optimal parameters of SA algorithm to maximize its performance. This method is applicable to other algorithms such as GA, PSO, etc.

Did you know that parameter tuning has a significant effect on the performance of search-based optimization algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), etc.

Taguchi experiment design is a systematic method for parameter tuning to maximize algorithm performance.

Let’s see:

If you have any question or problem, please contact Dr. Panda by email: learnwithpanda2018@gmail.com

Thank you very much and good luck with your research and publications!

Leave a Reply

Your email address will not be published. Required fields are marked *