This application provides a comprehensive platform to explore and test various optimization algorithms with customizable settings and features.
After reading a research paper, we implemented the core algorithm in Python based on the MATLAB code provided in the study. The app includes:
- 30 test functions, including 9 essential ones required for experiments, to thoroughly test the algorithm.
- The ability for users to input their own test functions for algorithm optimization testing, greatly enhancing flexibility.
- Implementation of 5 comparison algorithms to highlight the advantages of the BWO algorithm.
On this webpage, you can:
- Modify dimensions and iteration counts to customize your optimization experiments.
- Choose from the implemented optimization algorithms and test functions to explore different scenarios.
- After executing the optimization, view:
- A table of results summarizing the algorithm's performance.
- A curve showing the progress of iterations.
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🎯 Customizable Test Functions
Define your own test functions to validate optimization algorithms. -
🚀 Multiple Algorithms
Compare results using 5 different algorithms for in-depth analysis. -
📊 Visualization
Generate results and iteration progress as graphs for better insight.
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Navigate the Sidebar
Select a page to start exploring different optimization algorithms. -
Customize Parameters
Adjust dimensions, iteration counts, or choose test functions from the provided list. -
Run and Analyze
Execute the optimization and review the results in tabular and graphical formats.
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Test Function Flexibility
Add custom test functions to expand testing capabilities. -
Comprehensive Comparison
Evaluate algorithm performance across multiple dimensions and metrics. -
User-Friendly Interface
Intuitive controls and visual outputs make optimization testing accessible to all users.
We hope this app makes your optimization journey exciting and insightful! 🌟