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Chimp Optimization Algorithm

version 1.0.0 (14.6 KB) by M. Khishe
this code is related to the following paper: https://www.sciencedirect.com/science/article/abs/pii/S0957417420301639

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Updated 10 Jun 2020

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This article proposes a novel metaheuristic algorithm called Chimp Optimization Algorithm (ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group hunting, which is different from the other social predators. ChOA is designed to further alleviate the two problems of slow convergence speed and trapping in local optima in solving high-dimensional problems. In this article, a mathematical model of diverse intelligence and sexual motivation is proposed. Four types of chimps entitled attacker, barrier, chaser, and driver are employed for simulating the diverse intelligence. Moreover, the four main steps of hunting, driving, blocking, and attacking, are implemented. Afterward, the algorithm is tested on 30 well-known benchmark functions, and the results are compared to four newly proposed meta-heuristic algorithms in term of convergence speed, the probability of getting stuck in local minimums, and the accuracy of obtained results. The results indicate that the ChOA outperforms the other benchmark optimization algorithms.

Cite As

Khishe, M., and M. R. Mosavi. “Chimp Optimization Algorithm.” Expert Systems with Applications, vol. 149, Elsevier BV, July 2020, p. 113338, doi:10.1016/j.eswa.2020.113338.

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M. Khishe, M. R. Mosavi (2020). Chimp Optimization Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/<...>), MATLAB Central File Exchange. Retrieved June 10, 2020.

Comments and Ratings (16)

fuwang

va bk

near same GWO and EO

xy Peng

Good job! Your idea is very impressive!

Nima Raoufirad

Thanks for your helpful article

Erfan Esmaeeli

Your article is very useful

Mohammad Badakhshan

This article is very complete and efficient

Mohammad Yaghobpoor

This article is very good and so help me

Ahmad Tolo ooff

Mehrzad M

Very useful
Thanks for the article

Dr Mostafapoor

Tnq very well

Mohammad.hossin por

Mahdi Motamedi

Your article must have been useful

Comprehensive and useful

Mr reza Danyali

Very comprehensive and useful tnq dr khishe

omkar kulkarni

clean and clear code
thank you

delight fan

Works perfect!

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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