In this research, three new conjugation coefficients were proposed, and then they proved their convergence and comprehensiveness, and we called them MCG1,MCG2,MCG3, and then hybridized the optimization algorithm based on student psychology, which is one of the hyper-intuitive algorithms, with the conjugate gradient algorithm that takes the new conjugation coefficients, and we have obtained efficient numerical results.

1.
L.
Abualigah
,
A.
Diabat
.,
S.
Mirjalili
.,
and M.Abd
Elaziz
. “ The arithmetic optimization algorithm”
published by Elsevier B.V
(
2021
).
2.
B.
Das
,
V.
Mukherjee
and
D.
Das
, ”Student psychology based optimization algorithm : Anew population based optimization algorithm for solving optimization problems” (
Elsevier Ltd
,
2020
).
3.
B.
Hassan
., “
A new type of quasi newton updating formulas based on the new quasi newton equation
Numerical algebra, control and optimization
, volume
10
,number
2
, pp
227
235
,(
2020
).
4.
J.
Nocedal
., and
S. J.
Wright
.,
Numerical Optimization, Springer Series in Operations Research
, 2nd edition,
Springer-Verlag
,
New York
, (
2006
).
5.
R.
Dehgani
.,
N.
Bidabadi
and
M. M.
Hosseini
, “
Anew modified BFGS method for solving system of nonlinear equation
J.Interdiscip, Math.
22
(
1
) pp75-89,(
2019
).
6.
R. L.
Khaleel
.,
B. A.
Mitras
., “
Hybrid Whale Optimization Algorithm with Modified Conjugate Gradient Method to Solve Global Optimization Problems
”,
Open Access Library Journal
,Volume
7
,(
2020
).
7.
Y.H.
Dai
., and
H.
Zhang
., "
An Adaptive Two-Point Step-size Gradient Method
",
Numerical Algorithm
,
27
,pp
377
385
,(
2001
).
8.
Y.H.
Dai
., and
Y.
Yuan
., "
A nonlinear conjugate gradient method with a strong global convergence property
",
SIAM J. of Optimization
,
10
,pp
177
182
, (
1999
).
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