Golden jackal optimization algorithm

Version 1.0.0 (5,32 KB) von Nitish Chopra
Golden Jackal Optimization (GJO) algorithm for solving welded beam design, pressure vessel design,tension/compression spring design etc.
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Aktualisiert 27. Mär 2022

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A new nature-inspired optimization method, named the Golden Jackal Optimization (GJO) algorithm is proposed, which aims to provide an alternative optimization method for solving real-world engineering problems.
Read full paper at: https://doi.org/10.1016/j.eswa.2022.116924
Chopra, Nitish, and Muhammad Mohsin Ansari. "Golden Jackal Optimization: A Novel Nature-Inspired Optimizer for Engineering Applications." Expert Systems with Applications (2022): 116924.
The engineering problem in this code includes welded beam design, pressure vessel design, tension/compression spring design weight minimization of a speed reducer, gear train design, three bar truss design

Zitieren als

Nitish Chopra (2026). Golden jackal optimization algorithm (https://de.mathworks.com/matlabcentral/fileexchange/108889-golden-jackal-optimization-algorithm), MATLAB Central File Exchange. Abgerufen.

Chopra, Nitish, and Muhammad Mohsin Ansari. "Golden Jackal Optimization: A Novel Nature-Inspired Optimizer for Engineering Applications." Expert Systems with Applications (2022): 116924.

Kompatibilität der MATLAB-Version
Erstellt mit R2018a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
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Inspiriert von: Ant Lion Optimizer (ALO), Cuckoo Search (CS) Algorithm

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1.0.0