An Improved Harmony Search Based on Teaching-Learning Strategy for Unconstrained Optimization Problems
المؤلفون المشاركون
Yong, Longquan
Tuo, Shouheng
Zhou, Tao
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-29، 29ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-03-21
دولة النشر
مصر
عدد الصفحات
29
التخصصات الرئيسية
الملخص EN
Harmony search (HS) algorithm is an emerging population-based metaheuristic algorithm, which is inspired by the music improvisation process.
The HS method has been developed rapidly and applied widely during the past decade.
In this paper, an improved global harmony search algorithm, named harmony search based on teaching-learning (HSTL), is presented for high dimension complex optimization problems.
In HSTL algorithm, four strategies (harmony memory consideration, teaching-learning strategy, local pitch adjusting, and random mutation) are employed to maintain the proper balance between convergence and population diversity, and dynamic strategy is adopted to change the parameters.
The proposed HSTL algorithm is investigated and compared with three other state-of-the-art HS optimization algorithms.
Furthermore, to demonstrate the robustness and convergence, the success rate and convergence analysis is also studied.
The experimental results of 31 complex benchmark functions demonstrate that the HSTL method has strong convergence and robustness and has better balance capacity of space exploration and local exploitation on high dimension complex optimization problems.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tuo, Shouheng& Yong, Longquan& Zhou, Tao. 2013. An Improved Harmony Search Based on Teaching-Learning Strategy for Unconstrained Optimization Problems. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-29.
https://search.emarefa.net/detail/BIM-1031880
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tuo, Shouheng…[et al.]. An Improved Harmony Search Based on Teaching-Learning Strategy for Unconstrained Optimization Problems. Mathematical Problems in Engineering No. 2013 (2013), pp.1-29.
https://search.emarefa.net/detail/BIM-1031880
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tuo, Shouheng& Yong, Longquan& Zhou, Tao. An Improved Harmony Search Based on Teaching-Learning Strategy for Unconstrained Optimization Problems. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-29.
https://search.emarefa.net/detail/BIM-1031880
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1031880
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