Open AccessModified Chimp Optimization Algorithm Based On Classical Conjugate Gradient Methods
Author(s) -
Noor Maan Abdul Jabbar,
Ban Ahmed Mitras
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1963/1/012027
Subject(s) - conjugate gradient method , algorithm , optimization algorithm , hybrid algorithm (constraint satisfaction) , computer science , mathematical optimization , mathematics , stochastic programming , constraint programming , constraint logic programming
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.