Grasshopper Optimisation Algorithm (GOA)

GOA is a novel meta-heuristic algorithm for global optimisation
Updated 22 May 2018

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The proposed Grasshopper Optimisation Algorithm (GOA) mathematically models and mimics the behaviour of grasshopper swarms in nature for solving optimisation problems.
S. Saremi, S. Mirjalili, A. Lewis, Grasshopper Optimisation Algorithm: Theory and Application, Advances in Engineering Software , in press, 2016, DOI:
A Matlab toolbox for this algorithm can be found here: (to be advised later)
If you have no access to the paper, please drop me an email at and I will send you the paper.

All of the source codes and extra information as well as more optimization techniques can be found in my personal website at

I have a number of relevant courses in this area. You can enrol via the following links with 95% discount:

A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:

A course on “Introduction to Genetic Algorithms: Theory and Applications”

Cite As

Seyedali Mirjalili (2024). Grasshopper Optimisation Algorithm (GOA) (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

The errors for test functions F17 and F19 have been fixed.

Links added: