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Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm
المؤلفون المشاركون
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-01-26
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Artificial fish swarm algorithm (AFSA) is a population based optimization technique inspired by social behavior of fishes.
In past several years, AFSA has been successfully applied in many research and application areas.
The behavior of fishes has a crucial impact on the performance of AFSA, such as global exploration ability and convergence speed.
How to construct and select behaviors of fishes are an important task.
To solve these problems, an improved artificial fish swarm algorithm based on log-linear model is proposed and implemented in this paper.
There are three main works.
Firstly, we proposed a new behavior selection algorithm based on log-linear model which can enhance decision making ability of behavior selection.
Secondly, adaptive movement behavior based on adaptive weight is presented, which can dynamically adjust according to the diversity of fishes.
Finally, some new behaviors are defined and introduced into artificial fish swarm algorithm at the first time to improve global optimization capability.
The experiments on high dimensional function optimization showed that the improved algorithm has more powerful global exploration ability and reasonable convergence speed compared with the standard artificial fish swarm algorithm.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Huang, Zhehuang& Chen, Yidong. 2015. Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057733
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Huang, Zhehuang& Chen, Yidong. Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057733
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Huang, Zhehuang& Chen, Yidong. Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057733
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057733
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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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
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