Single-objective optimization
Single-objective optimization
Single-objective optimization
DA has been designed to solve single-objective optimization problems. This algorithm has been implemented in a wide range of programming languages. You can download the source code at the bottom of this page.
Multi-objective optimization
Single-objective optimization
Single-objective optimization
If you are interested in solving a multi-objective problem using DA, you have to use this code.
Binary optimization
Single-objective optimization
Binary optimization
If you are interested in solving a binary or discrete using DA, you have to use this code.
Matlab DA toolbox
Hyper Learning Binary Dragonfly Algorithm
Binary optimization
A user-friendly interface to run DA algorithm with minimum coding.
Hyper Learning Binary Dragonfly Algorithm
Hyper Learning Binary Dragonfly Algorithm
Hyper Learning Binary Dragonfly Algorithm
HLBDA is an enhanced version of the Binary Dragonfly Algorithm (BDA) in which a hyper learning strategy is used to assist the algorithm to escape the local optima and improve searching behavior. (credits: Dr. Jingwei Too)
Download DA Source Code
