Using the Conjugate Gradient & Parallel Tangent to Improve the Ant Lion Algorithm

Radhwan Basim Thanoon, Zyiad Adrees Hamad1

1

Publication Date: 2020/05/29

Abstract: In this paper, A hybrid algorithm is proposed, the( ALO) Ant lion algorithm, Along with classical algorithms. The hybrid algorithm optimizes the randomly generated primary community, dependent on a Conjugate Gradient algorithm (CG) and once with a Parallel Shadow algorithm (Partan). The test was applied to (15) high-performance optimization functions of different dimensions and different frequencies.

Keywords: Ant lion Optimization, meta-Heuristic algorithms, Conjugate Gradient methods, Parallel Tangent method, unconstrained Optimization

DOI: No DOI Available

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT20MAY020.pdf

REFERENCES

No References Available