An Optimization Algorithm with Novel RFA-PSO Cooperative Evolution: Applications to Parameter Decision of a Snake Robot
المؤلفون المشاركون
Gao, Qin
Wang, Zhelong
Li, Hongyi
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-18
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The success to design a hybrid optimization algorithm depends on how to make full use of the effect of exploration and exploitation carried by agents.
To improve the exploration and exploitation property of the agents, we present a hybrid optimization algorithm with both local and global search capabilities by combining the global search property of rain forest algorithm (RFA) and the rapid convergence of PSO.
Originally two kinds of agents, RFAAs and PSOAs, are introduced to carry out exploration and exploitation, respectively.
In order to improve population diversification, uniform distribution and adaptive range division are carried out by RFAAs in flexible scale during the iteration.
A further improvement has been provided to enhance the convergence rate and processing speed by combining PSO algorithm with potential guides found by both RFAAs and PSOAs.
Since several contingent local minima conditions may happen to PSO, special agent transformation is suggested to provide information exchanging and cooperative coevolution between RFAAs and PSOAs.
Effectiveness and efficiency of the proposed algorithm are compared with several algorithms in the various benchmark function problems.
Finally, engineering design optimization problems taken from the gait control of a snake-like robot are implemented successfully by the proposed RFA-PSO.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gao, Qin& Wang, Zhelong& Li, Hongyi. 2015. An Optimization Algorithm with Novel RFA-PSO Cooperative Evolution: Applications to Parameter Decision of a Snake Robot. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073504
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gao, Qin…[et al.]. An Optimization Algorithm with Novel RFA-PSO Cooperative Evolution: Applications to Parameter Decision of a Snake Robot. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1073504
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gao, Qin& Wang, Zhelong& Li, Hongyi. An Optimization Algorithm with Novel RFA-PSO Cooperative Evolution: Applications to Parameter Decision of a Snake Robot. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073504
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073504
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