PeSOA : penguins search optimisation algorithm for global optimisation problems
المؤلفون المشاركون
Gharibah, Yusuf
Papadopoulos, Yiannis
Maazouzi, Smaine
Musawi, Abd al-Wahhab
Yin, Peng-Yeng
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 16، العدد 3 (31 مايو/أيار 2019)9ص.
الناشر
تاريخ النشر
2019-05-31
دولة النشر
الأردن
عدد الصفحات
9
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
This paper develops Penguin search Optimisation Algorithm (PeSOA), a new metaheuristic algorithm which is inspired by the foraging behaviours of penguins.
A population of penguins located in the solution space of the given search and optimisation problem is divided into groups and tasked with finding optimal solutions.
The penguins of a group perform simultaneous dives and work as a team to collaboratively feed on fish the energy content of which corresponds to the fitness of candidate solutions.
Fish stocks have higher fitness and concentration near areas of solution optima and thus drive the search.
Penguins can migrate to other places if their original habitat lacks food.
We identify two forms of penguin communication both intra-group and inter-group which are useful in designing intensification and diversification strategies.
An efficient intensification strategy allows fast convergence to a local optimum, whereas an effective diversification strategy avoids cyclic behaviour around local optima and explores more effectively the space of potential solutions.
The proposed PeSOA algorithm has been validated on a well-known set of benchmark functions.
Comparative performances with six other nature-inspired metaheuristics show that the PeSOA performs favourably in these tests.
A run-time analysis shows that the performance obtained by the PeSOA is very stable at any time of the evolution horizon, making the PeSOA a viable approach for real world applications.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gharibah, Yusuf& Yin, Peng-Yeng& Papadopoulos, Yiannis& Musawi, Abd al-Wahhab& Maazouzi, Smaine. 2019. PeSOA : penguins search optimisation algorithm for global optimisation problems. The International Arab Journal of Information Technology،Vol. 16, no. 3.
https://search.emarefa.net/detail/BIM-854911
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gharibah, Yusuf…[et al.]. PeSOA : penguins search optimisation algorithm for global optimisation problems. The International Arab Journal of Information Technology Vol. 16, no. 3 (May. 2019).
https://search.emarefa.net/detail/BIM-854911
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gharibah, Yusuf& Yin, Peng-Yeng& Papadopoulos, Yiannis& Musawi, Abd al-Wahhab& Maazouzi, Smaine. PeSOA : penguins search optimisation algorithm for global optimisation problems. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 3.
https://search.emarefa.net/detail/BIM-854911
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-854911
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر