عنوان المقالة: An Efficient Modified Cuckoo Search Optimization with Rational Barrier Function
رنا زيدان يونس الكواز | Rana Z. Al-Kawaz | 4531
نوع النشر
مجلة علمية
المؤلفون بالعربي
المؤلفون بالإنجليزي
Rana Z. Al-Kawaz, Huda I. Ahmed, Abbas Y. Al-Bayati
الملخص الانجليزي
Recent modern optimization algorithms are often very successful in solving NP-hard improvement problems. One of the main disadvantages of the search algorithm in cuckoo (CS) is the weakness of its ability as a local search algorithm and slow in its speed of convergence, which results in a limited access to the target. There are two categories that can be solved by this algorithm: First, the unconstrained functions are solved. Second, which is the focus of this article, is the constraint functions and how to deal with them using a rational formula of the Barrier function. The results show that the CRB (Cuckoo & Rational Barrier Function) algorithm has a better convergence velocity than the algorithm (CS) by observing the separation of the numerical results of the browser in which the accuracy of the new algorithm on some engineering functions.
تاريخ النشر
01/09/2018
الناشر
Transstellar Journal Publications & Research Consultancy (TJPRC)
رقم المجلد
8
رقم العدد
5
ISSN/ISBN
2249-6955
رابط DOI
10.24247/ijmcaroct20182
الصفحات
13-24
رابط خارجي
http://www.tjprc.org/publishpapers/2-45-1537780834-2.IJMCAROCT20182.pdf
الكلمات المفتاحية
Cuckoo (CS) Search; Local Search; Rational Barrier Function; Constrained Optimization; Optimization Algorithms.
رجوع