Modified Chimp Optimization Algorithm Based On Classical Conjugate Gradient Methods

Abstract In this paper, a new hybrid algorithm was proposed for the chimp algorithm using another traditional efficient algorithm called the Conjugate Gradient Algorithm called (CGA). The algorithm CG works to optimize the randomly created elementary community as the basic community of chimp optimiz...

Full description

Saved in:
Bibliographic Details
Published inJournal of physics. Conference series Vol. 1963; no. 1; pp. 12027 - 12039
Main Authors Abdul Jabbar, Noor Maan, Mitras, Ban Ahmed
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.07.2021
Subjects
Algorithms
Chimp Optimization Algorithm
Conjugate Gradient Methods
Conjugates
Meta-Heuristic Algorithms
Optimization
Swarm Intelligence
Online AccessGet full text

Cover

More Information
Summary:Abstract In this paper, a new hybrid algorithm was proposed for the chimp algorithm using another traditional efficient algorithm called the Conjugate Gradient Algorithm called (CGA). The algorithm CG works to optimize the randomly created elementary community as the basic community of chimp optimization algorithms by using the characteristic traditional algorithm above. The test was applied to (10) high-efficiency optimization functions with different dimensions and frequency. The results of the hybrid algorithm were excellent, encouraging, and superior to the original algorithm. The hybrid algorithm achieved optimal solutions by reaching to a minimum value ( f min ) for most of these functions.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1963/1/012027