An R2 Indicator and Decomposition Based Steady-State Evolutionary Algorithm for Many-Objective Optimization
المؤلفون المشاركون
Shi, Huaitao
Li, Fei
Liu, Jianchang
Huang, Peiqiu
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-11
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
An R2 indicator based selection method is a major ingredient in the formulation of indicator based evolutionary multiobjective optimization algorithms.
The existing classical indicator based selection methodologies have demonstrated an excellent performance to solve low-dimensional optimization problems.
However, the R2 indicator based evolutionary multiobjective optimization algorithms encounter enormous challenges in high-dimensional objective space.
Our main purpose is to explore how to extend the R2 indicator to handle many-objective optimization problems.
After analyzing the R2 indicator, the objective space partition strategy, and the decomposition method, we propose a steady-state evolutionary algorithm based on the R2 indicator and the decomposition method, named, R2-MOEA/D, to obtain well-converged and well-distributed Pareto front.
The main contribution of this paper contains two aspects.
(1) The convergence and diversity for the R2 indicator based selection are analyzed.
Two improper selection situations will be properly solved via applying the decomposition method.
(2) According to the position of a new individual in the steady-state evolutionary algorithm, two different objective space partition strategies and the corresponding selection methods are proposed.
Extensive experiments are conducted on a variety of benchmark test problems, and the experimental results demonstrate that the proposed algorithm has competitive performance in comparison with several tailored algorithms for many-objective optimization.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Fei& Liu, Jianchang& Huang, Peiqiu& Shi, Huaitao. 2018. An R2 Indicator and Decomposition Based Steady-State Evolutionary Algorithm for Many-Objective Optimization. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1205603
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Fei…[et al.]. An R2 Indicator and Decomposition Based Steady-State Evolutionary Algorithm for Many-Objective Optimization. Mathematical Problems in Engineering No. 2018 (2018), pp.1-18.
https://search.emarefa.net/detail/BIM-1205603
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Fei& Liu, Jianchang& Huang, Peiqiu& Shi, Huaitao. An R2 Indicator and Decomposition Based Steady-State Evolutionary Algorithm for Many-Objective Optimization. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1205603
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1205603
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