I have a list [ ] of the objective functions and I want to test the performance convergence of the swarm optimization algorithm by sphere, Rosebrock, Schwefel Rastringin .. and more, actually, I do not have enough knowledge about how to adapt my proposed algorithm with that benchmark function to test its performance and behavior if I subject to a particular test function since I am using python code.
please if anyone helps me even if it was a specific book title, a certain link, pdf, ppt ...
Thank you so much
Dear Thaeer M Sahib,
I suggest you see links on the topic.
https://www.sciencedirect.com/topics/computer-science/benchmark-function
Article A Comprehensive Review of Swarm Optimization Algorithms
Article A Novel Crow Swarm Optimization Algorithm (CSO) Coupling Par...
Article Adjustable mode ratio and focus boost search strategy for ca...
https://mdpi-res.com/d_attachment/sensors/sensors-22-01275/article_deploy/sensors-22-01275-v2.pdf
Best regards
Have a look at http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.704.3494&rep=rep1&type=pdf
https://asset-pdf.scinapse.io/prod/2012884505/2012884505.pdf
and for sphere : https://www.cs.unm.edu/~neal.holts/dga/algorithmComparison/f1sphere.html
I suggest you to write your code such that can adopt with any functions.
If I understand what you mean, you can not put different functions in your optimization code. And you think you have to write a new code for each benchmark function.
People who start coding optimization problems usually write their code for a specific function and a specific number of input variables. And this makes it impossible for you to use your optimization code for different functions. you have to write a new code.
My suggestion is to write the optimization code in general to define the input function and the number of input variables as an optional in the optimization code. Define each benchmark function easily by writing its name and number of variables in your optimization code.
If you have more information we can have skype conversation to explain you more.
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