Multiobjective Firefly Algorithm (MOFA)

Version 2.0.0 (6.35 KB) by XS Yang

This demo shows how the multiobjective firefly algorithm (MOFA) works.

0.0

(0)

604 Downloads

Updated 29 Mar 2020

View License

The multiobjective firefly algorithm (MOFA) is a nature-inspired optimization algorithm. This demo solves the bi-objective ZDT3 functions with D=30 (dimensions), and the obtained Pareto Front is displayed. It is relatively straightforward to extend this code to solve other multi-objective functions and optimization problems. You can change the objective functions, the dimensionality, and simple lower and upper bounds (Lb, Ub). Some parameter tuning to vary parameters slightly (such as theta, gamma, and number of iterations) may help improve the quality of the solutions.

Cite As

XS Yang (2024). Multiobjective Firefly Algorithm (MOFA) (https://www.mathworks.com/matlabcentral/fileexchange/74755-multiobjective-firefly-algorithm-mofa), MATLAB Central File Exchange. Retrieved April 19, 2024.

Yang, Xin-She. “Multiobjective Firefly Algorithm for Continuous Optimization.” Engineering with Computers, vol. 29, no. 2, Springer Science and Business Media LLC, Jan. 2012, pp. 175–84, doi:10.1007/s00366-012-0254-1.

View more styles

MATLAB Release Compatibility

Created with R2009b

Compatible with any release

Platform Compatibility

Windows macOS Linux

Tags Add Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version	Published	Release Notes
2.0.0	29 Mar 2020	Updated version.	Download
1.0.0	29 Mar 2020		Download

MLA	Yang, Xin-She. “Multiobjective Firefly Algorithm for Continuous Optimization.” Engineering with Computers, vol. 29, no. 2, Springer Science and Business Media LLC, Jan. 2012, pp. 175–84, doi:10.1007/s00366-012-0254-1.
APA	Yang, X.-S. (2012). Multiobjective firefly algorithm for continuous optimization. Engineering with Computers, 29(2), 175–184. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs00366-012-0254-1
BibTeX	@article{Yang_2012, doi = {10.1007/s00366-012-0254-1}, url = {https://doi.org/10.1007%2Fs00366-012-0254-1}, year = 2012, month = {jan}, publisher = {Springer Science and Business Media {LLC}}, volume = {29}, number = {2}, pages = {175--184}, author = {Xin-She Yang}, title = {Multiobjective firefly algorithm for continuous optimization}, journal = {Engineering with Computers} }