Multi-objective ephemera optimization algorithm and its implementation in Matlab
The Dragonfly Algorithm (DA) is a multi-objective optimization algorithm based on bionics, inspired by the behavior of mayfly groups. This algorithm simulates the behavior of mayflies in the process of searching for food and reproducing, and gradually optimizes the objective function through iterative search to obtain multiple optimal solutions.
The basic principle of the mayfly optimization algorithm is to realize the optimization process by simulating the position adjustment and information exchange among individuals of the mayfly colony. In each generation of the algorithm, mayfly individuals are updated and moved based on the current position and objective function value. At the same time, individual mayflies also update their own status through an information exchange mechanism and learn from the experiences of other individuals.
The following is the Matlab implementation code of the mayfly optimization algorithm:
function [bestPosition, bestFitness] = dragonflyAlgorithm(objectiveFunction, dimension, lowerBound, upperBound, maxGeneration