Root Growth Optimizer with Self-Similar Propagation
المؤلفون المشاركون
Niu, Ben
He, Xiaoxian
Wang, Jie
Chen, Hanning
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
2015-05-06
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Most nature-inspired algorithms simulate intelligent behaviors of animals and insects that can move spontaneously and independently.
The survival wisdom of plants, as another species of biology, has been neglected to some extent even though they have evolved for a longer period of time.
This paper presents a new plant-inspired algorithm which is called root growth optimizer (RGO).
RGO simulates the iterative growth behaviors of plant roots to optimize continuous space search.
In growing process, main roots and lateral roots, classified by fitness values, implement different strategies.
Main roots carry out exploitation tasks by self-similar propagation in relatively nutrient-rich areas, while lateral roots explore other places to seek for better chance.
Inhibition mechanism of plant hormones is applied to main roots in case of explosive propagation in some local optimal areas.
Once resources in a location are exhausted, roots would shrink away from infertile conditions to preserve their activity.
In order to validate optimization effect of the algorithm, twelve benchmark functions, including eight classic functions and four CEC2005 test functions, are tested in the experiments.
We compared RGO with other existing evolutionary algorithms including artificial bee colony, particle swarm optimizer, and differential evolution algorithm.
The experimental results show that RGO outperforms other algorithms on most benchmark functions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
He, Xiaoxian& Chen, Hanning& Niu, Ben& Wang, Jie. 2015. Root Growth Optimizer with Self-Similar Propagation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073985
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
He, Xiaoxian…[et al.]. Root Growth Optimizer with Self-Similar Propagation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1073985
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
He, Xiaoxian& Chen, Hanning& Niu, Ben& Wang, Jie. Root Growth Optimizer with Self-Similar Propagation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073985
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073985
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