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Solving Single Machine Total Weighted Tardiness Problem with Unequal Release Date Using Neurohybrid Particle Swarm Optimization Approach
المؤلفون المشاركون
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-06-23
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
A particle swarm optimization algorithm (PSO) has been used to solve the single machine total weighted tardiness problem (SMTWT) with unequal release date.
To find the best solutions three different solution approaches have been used.
To prepare subhybrid solution system, genetic algorithms (GA) and simulated annealing (SA) have been used.
In the subhybrid system (GA and SA), GA obtains a solution in any stage, that solution is taken by SA and used as an initial solution.
When SA finds better solution than this solution, it stops working and gives this solution to GA again.
After GA finishes working the obtained solution is given to PSO.
PSO searches for better solution than this solution.
Later it again sends the obtained solution to GA.
Three different solution systems worked together.
Neurohybrid system uses PSO as the main optimizer and SA and GA have been used as local search tools.
For each stage, local optimizers are used to perform exploitation to the best particle.
In addition to local search tools, neurodominance rule (NDR) has been used to improve performance of last solution of hybrid-PSO system.
NDR checked sequential jobs according to total weighted tardiness factor.
All system is named as neurohybrid-PSO solution system.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cakar, Tarik& Koker, Rasit. 2015. Solving Single Machine Total Weighted Tardiness Problem with Unequal Release Date Using Neurohybrid Particle Swarm Optimization Approach. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1057768
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cakar, Tarik& Koker, Rasit. Solving Single Machine Total Weighted Tardiness Problem with Unequal Release Date Using Neurohybrid Particle Swarm Optimization Approach. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1057768
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cakar, Tarik& Koker, Rasit. Solving Single Machine Total Weighted Tardiness Problem with Unequal Release Date Using Neurohybrid Particle Swarm Optimization Approach. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1057768
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057768
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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