عنوان المقالة: Implementation of Combined New Optimal Cuckoo Algorithm with a Gray Wolf Algorithm to Solve Unconstrained Optimization Nonlinear Problems
رنا زيدان يونس الكواز | Rana Z. Al-Kawaz | 4535
نوع النشر
مجلة علمية
المؤلفون بالعربي
المؤلفون بالإنجليزي
Ali A. Al-Arbo, Rana Z. Al-Kawaz
الملخص الانجليزي
In this article, a combined optimization algorithm was proposed which combines the optimal adaptive Cuckoo algorithm (OACS) which is a Nature inspired algorithm with a Gray Wolf optimizer algorithm (GWO). Sometimes considering the cuckoo algorithm alone, it may fail to find the local minimum-point and also fails to reach the solution because of the slow speed of its convergence property. Therefore, considering the new proposed adaptive combined algorithm gave a strong improvement for using this to reach the minimum point in solving (12) nonlinear test problems. This is suitable to solve a large number of nonlinear unconstrained optimization test functions with obtaining good and robust numerical results.
تاريخ النشر
15/09/2020
الناشر
Indonesian Journal of Electrical Engineering and Computer Science
رقم المجلد
19
رقم العدد
3
ISSN/ISBN
2502-4760
رابط DOI
10.11591/ijeecs.v19.i3.pp1582-1589
الصفحات
1582-1589
رابط خارجي
https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21583/14680
الكلمات المفتاحية
Cuckoo algorithm; Gray Wolf optimizer algorithm ; nonlinear test problems; nonlinear unconstrained
رجوع