This project is dedicated to solving continuous optimization problems by metaheuristic algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Stochastic Fractal Search (SFS), Grey Wolf Optimization based Stochastic Fractal Search (GWO-SFS). There is an user interface which allows users to open a benchmark problem, create their own optimization problem, and evaluate the algorithms.
- Solve continuous optimization problems: Open A Benchmark -> Create A Solver -> Reset -> Run To End
- Add a new problem
- Compare the algorithms and export the results
- Evaluate -> Select Benchmark (may select more than one benchmark problems at a time)
- Compare different algorithms: -> Evaluate (after hitting this button, you will get the results in the right panel in a table form, in which the columns are the name of the algorithm, benchmark problem, dimension, mean, standard deviation)
- Plot convergence plot: in the lower left corner, users may select a benchmark problem from the dropdown list and plot the convergence plot.
- Export the table: Export -> Table -> Result
- Evaluate -> Select Benchmark (may select more than one benchmark problems at a time)
- Main User Interface
- Add a New Problem
- Evaluation Form