MATLAB Implementation of the Fruit Fly Optimization Algorithm

This article demonstrates how to implement the Fruit Fly Optimization Algorithm (FOA) using MATLAB code and evaluates its performance through function optimization tests. FOA is a bio-inspired optimization algorithm that mimics the foraging behavior of fruit flies to search for optimal solutions. The implementation covers key aspects such as parameter initialization (including population size and iteration settings), objective function definition using MATLAB's function handles, and visualization of convergence curves using plotting functions. During testing, we utilize MATLAB's optimization toolbox to assess algorithm performance through benchmark functions, comparing results with other common optimization algorithms like PSO and GA. The code structure demonstrates how to implement scent concentration calculations and position updates using vectorized operations for efficiency. Through this tutorial, you will learn to apply FOA to practical problems and master fundamental methods for implementing optimization algorithms in MATLAB.