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A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking
المؤلفون المشاركون
Hong, Ying-Yi
Beltran, Angelo A.
Paglinawan, Arnold C.
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-08-16
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
This work proposes an enhanced particle swarm optimization scheme that improves upon the performance of the standard particle swarm optimization algorithm.
The proposed algorithm is based on chaos search to solve the problems of stagnation, which is the problem of being trapped in a local optimum and with the risk of premature convergence.
Type 1 ′ ′ constriction is incorporated to help strengthen the stability and quality of convergence, and adaptive learning coefficients are utilized to intensify the exploitation and exploration search characteristics of the algorithm.
Several well known benchmark functions are operated to verify the effectiveness of the proposed method.
The test performance of the proposed method is compared with those of other popular population-based algorithms in the literature.
Simulation results clearly demonstrate that the proposed method exhibits faster convergence, escapes local minima, and avoids premature convergence and stagnation in a high-dimensional problem space.
The validity of the proposed PSO algorithm is demonstrated using a fuzzy logic-based maximum power point tracking control model for a standalone solar photovoltaic system.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hong, Ying-Yi& Beltran, Angelo A.& Paglinawan, Arnold C.. 2016. A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1112463
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hong, Ying-Yi…[et al.]. A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking. Mathematical Problems in Engineering No. 2016 (2016), pp.1-19.
https://search.emarefa.net/detail/BIM-1112463
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hong, Ying-Yi& Beltran, Angelo A.& Paglinawan, Arnold C.. A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1112463
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112463
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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