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Spider Monkey Optimization Algorithm (SMO)

SpiderMonkey is a repository containing the code for Spider Monkey Optimization Algorithm in Python. The student chapter link can be found in the repo description.

Documentation

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Installation

Use the git commands to install SpiderMonkey.

git clone https://github.com/nimishbongale/SpiderMonkey.git

Usage

cd into the required directory, and compile and run the python code.

python Main.py

The output .csv file should be generated containing the necessary data.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

Acknowledgements

  1. Mukesh Saraswat (emailid: saraswatmukesh@gmail.com)
  2. Himanshu Mittal (emailid: himanshu.mittal224@gmail.com)
  3. Raju Pal (emailid: raju3131.pal@gmail.com)

License

MIT

About

This is a repository which contains all the code for the Spider Monkey Optimization Algorithm, associated with Chapter 6, Machine Learning for Intelligent Decision Science. https://link.springer.com/book/10.1007/978-981-15-3689-2

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