On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization
المؤلفون المشاركون
Arasomwan, Akugbe Martins
Adewumi, Aderemi Oluyinka
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-10-31
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Linear decreasing inertia weight (LDIW) strategy was introduced to improve on the performance of the original particle swarm optimization (PSO).
However, linear decreasing inertia weight PSO (LDIW-PSO) algorithm is known to have the shortcoming of premature convergence in solving complex (multipeak) optimization problems due to lack of enough momentum for particles to do exploitation as the algorithm approaches its terminal point.
Researchers have tried to address this shortcoming by modifying LDIW-PSO or proposing new PSO variants.
Some of these variants have been claimed to outperform LDIW-PSO.
The major goal of this paper is to experimentally establish the fact that LDIW-PSO is very much efficient if its parameters are properly set.
First, an experiment was conducted to acquire a percentage value of the search space limits to compute the particle velocity limits in LDIW-PSO based on commonly used benchmark global optimization problems.
Second, using the experimentally obtained values, five well-known benchmark optimization problems were used to show the outstanding performance of LDIW-PSO over some of its competitors which have in the past claimed superiority over it.
Two other recent PSO variants with different inertia weight strategies were also compared with LDIW-PSO with the latter outperforming both in the simulation experiments conducted.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Arasomwan, Akugbe Martins& Adewumi, Aderemi Oluyinka. 2013. On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1033377
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Arasomwan, Akugbe Martins& Adewumi, Aderemi Oluyinka. On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization. The Scientific World Journal No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1033377
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Arasomwan, Akugbe Martins& Adewumi, Aderemi Oluyinka. On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1033377
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1033377
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