A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization
المؤلفون المشاركون
Zhang, Weiwei
Lin, Jingjing
Jing, Honglei
Zhang, Qiuwen
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-08
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Artificial immune system is one of the most recently introduced intelligence methods which was inspired by biological immune system.
Most immune system inspired algorithms are based on the clonal selection principle, known as clonal selection algorithms (CSAs).
When coping with complex optimization problems with the characteristics of multimodality, high dimension, rotation, and composition, the traditional CSAs often suffer from the premature convergence and unsatisfied accuracy.
To address these concerning issues, a recombination operator inspired by the biological combinatorial recombination is proposed at first.
The recombination operator could generate the promising candidate solution to enhance search ability of the CSA by fusing the information from random chosen parents.
Furthermore, a modified hypermutation operator is introduced to construct more promising and efficient candidate solutions.
A set of 16 common used benchmark functions are adopted to test the effectiveness and efficiency of the recombination and hypermutation operators.
The comparisons with classic CSA, CSA with recombination operator (RCSA), and CSA with recombination and modified hypermutation operator (RHCSA) demonstrate that the proposed algorithm significantly improves the performance of classic CSA.
Moreover, comparison with the state-of-the-art algorithms shows that the proposed algorithm is quite competitive.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Weiwei& Lin, Jingjing& Jing, Honglei& Zhang, Qiuwen. 2016. A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1099724
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Weiwei…[et al.]. A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1099724
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Weiwei& Lin, Jingjing& Jing, Honglei& Zhang, Qiuwen. A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1099724
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099724
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