Multi-Objective Jellyfish Search (MOJS) Algorithm

Version 1.0.0 (6.91 KB) by nhat truong

This study develops a Multi-Objective Jellyfish Search (MOJS) algorithm to solve engineering problems optimally with multiple objectives.

https://www.researchgate.net/profile/Jui-Sheng_Chou

0.0

(0)

469 Downloads

Updated 18 Sep 2020

View License

This study develops a Multi-Objective Jellyfish Search (MOJS) algorithm to solve engineering problems optimally with multiple objectives. Lévy flight, elite population, fixed-size archive, chaotic map, and the opposition-based jumping method are integrated into the MOJS to obtain the Pareto optimal solutions. These techniques are employed to define the motions of jellyfish in an ocean current or a swarm in multi-objective search spaces.

Cite As

Chou, Jui-Sheng, and Dinh-Nhat Truong. “Multiobjective Optimization Inspired by Behavior of Jellyfish for Solving Structural Design Problems.” Chaos, Solitons & Fractals, vol. 135, Elsevier BV, June 2020, p. 109738, doi:10.1016/j.chaos.2020.109738.

View more styles

MATLAB Release Compatibility

Created with R2016a

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
1.0.0	18 Sep 2020		Download

MLA	Chou, Jui-Sheng, and Dinh-Nhat Truong. “Multiobjective Optimization Inspired by Behavior of Jellyfish for Solving Structural Design Problems.” Chaos, Solitons & Fractals, vol. 135, Elsevier BV, June 2020, p. 109738, doi:10.1016/j.chaos.2020.109738.
APA	Chou, J.-S., & Truong, D.-N. (2020). Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems. Chaos, Solitons & Fractals, 135, 109738. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.chaos.2020.109738
BibTeX	@article{Chou_2020, doi = {10.1016/j.chaos.2020.109738}, url = {https://doi.org/10.1016%2Fj.chaos.2020.109738}, year = 2020, month = {jun}, publisher = {Elsevier {BV}}, volume = {135}, pages = {109738}, author = {Jui-Sheng Chou and Dinh-Nhat Truong}, title = {Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems}, journal = {Chaos, Solitons {\&} Fractals} }