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Grasshopper Optimisation Algorithm (GOA)

version 1.0.0.0 (3.09 MB) by Seyedali Mirjalili
GOA is a novel meta-heuristic algorithm for global optimisation

2.8K Downloads

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: http://dx.doi.org/10.1016/j.advengsoft.2017.01.004
Link: http://www.sciencedirect.com/science/article/pii/S0965997816305646
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 ali.mirjalili@gmail.com 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 http://www.alimirjalili.com

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

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A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF

A course on “Introduction to Genetic Algorithms: Theory and Applications”
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF
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Cite As

Seyedali Mirjalili (2021). Grasshopper Optimisation Algorithm (GOA) (https://www.mathworks.com/matlabcentral/fileexchange/61421-grasshopper-optimisation-algorithm-goa), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
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