Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems
المؤلفون المشاركون
He, Maowei
Chen, Hanning
Liang, Xiaodan
Sun, Liling
Wu, Yuhan
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-24، 24ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-25
دولة النشر
مصر
عدد الصفحات
24
التخصصات الرئيسية
الملخص EN
Over the last few decades, evolutionary algorithms (EAs) have been widely adopted to solve complex optimization problems.
However, EAs are powerless to challenge the constrained optimization problems (COPs) because they do not directly act to reduce constraint violations of constrained problems.
In this paper, the robustly global optimization advantage of artificial bee colony (ABC) algorithm and the stably minor calculation characteristic of constraint consensus (CC) strategy for COPs are integrated into a novel hybrid heuristic algorithm, named ABCCC.
CC strategy is fairly effective to rapidly reduce the constraint violations during the evolutionary search process.
The performance of the proposed ABCCC is verified by a set of constrained benchmark problems comparing with two state-of-the-art CC-based EAs, including particle swarm optimization based on CC (PSOCC) and differential evolution based on CC (DECC).
Experimental results demonstrate the promising performance of the proposed algorithm, in terms of both optimization quality and convergence speed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sun, Liling& Wu, Yuhan& Liang, Xiaodan& He, Maowei& Chen, Hanning. 2019. Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems. Discrete Dynamics in Nature and Society،Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1146469
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sun, Liling…[et al.]. Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems. Discrete Dynamics in Nature and Society No. 2019 (2019), pp.1-24.
https://search.emarefa.net/detail/BIM-1146469
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sun, Liling& Wu, Yuhan& Liang, Xiaodan& He, Maowei& Chen, Hanning. Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems. Discrete Dynamics in Nature and Society. 2019. Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1146469
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1146469
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