Academic Journal

A NEW MULTI-OBJECTIVE ARTIFICIAL BEE COLONY ALGORITHM FOR MULTI-OBJECTIVE OPTIMIZATION PROBLEMS

التفاصيل البيبلوغرافية
العنوان: A NEW MULTI-OBJECTIVE ARTIFICIAL BEE COLONY ALGORITHM FOR MULTI-OBJECTIVE OPTIMIZATION PROBLEMS
المؤلفون: YILMAZ ACAR, Züleyha, AYDEMİR, Fikri, BAŞÇİFTÇİ, Fatih
المصدر: Selcuk-Teknik Dergisi; 2018: Special Issue (ICENTE’18); 144-152 ; Selçuk-Teknik Dergisi; 2018: Special Issue (ICENTE’18); 144-152 ; 1302-6178
بيانات النشر: Selçuk Üniversitesi Teknoloji Fakültesi
سنة النشر: 2019
المجموعة: Selçuk-Teknik Dergisi (E-Journal - Selçuk Üniversiti)
مصطلحات موضوعية: Mühendislik, Fen Bilimleri, Optimizasyon, Çok Amaçlı Optimizasyon, Yapay Arı Koloni Algoritması, Sürü Zekası
الوصف: Since real-world problems have multi-objective optimization problems, algorithms that solve such problems are getting more important. In this study, a new multi-objective artificial bee colony algorithm is proposed for solving multi-objective optimization problems. With the proposed algorithm, non-dominated solutions are kept in the fixed-sized archive. It has benefited from the crowding distance during the selection of elite solutions in the archive. Moreover, the onlooker bees are selected from the archive members with the proposed algorithm. It is aimed to improve the archive members with this modification. To evaluate the performance of the proposed algorithm, ZDT1, ZDT2 and ZDT3 from ZDT family of benchmark functions were used as multi-objective benchmark problems and the results were compared with MOPSO and NSGA-II algorithms. The results show that the proposed algorithm is an alternative method for multi-objective optimization problems.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: http://sutod.selcuk.edu.tr/sutod/article/view/462/670; http://sutod.selcuk.edu.tr/sutod/article/downloadSuppFile/462/183; http://sutod.selcuk.edu.tr/sutod/article/view/462
الاتاحة: http://sutod.selcuk.edu.tr/sutod/article/view/462
Rights: Telif Hakkı (c) 2019 Selçuk-Teknik Dergisi ; http://creativecommons.org/licenses/by-nc/4.0
رقم الانضمام: edsbas.BC178DA1
قاعدة البيانات: BASE