Slime Mould Algorithm for Solving Optimization Problems

The Slime Mould Algorithm (SMA) is a nature-inspired optimization algorithm that mimics the foraging behavior of slime molds. This algorithm has been widely used in solving various optimization problems due to its effectiveness in finding optimal solutions. In this MATLAB code, we provide an implementation of the SMA algorithm for solving optimization problems. The code is well-commented and easy to understand, making it suitable for both beginners and experienced users. By using this code, you can efficiently solve complex optimization problems and enhance your research in various fields.