An Enhanced Artificial Immune System Approach For Assembly Line Balancing Problem Through Shifting Bottleneck Identification
The manufacturing industry has evolved rapidly in the past few years, due to the global competitive economy, high-quality market demands, and customized products with the lowest possible costs. This is achieved by partitioning the workloads among the available resource to obtain an equal amount o...
محفوظ في:
المؤلف الرئيسي: | Khalid, Mohd Nor Akmal |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2018
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.usm.my/47954/1/MOHD%20NOR%20AKMAL%20KHALID%20-%20AN%20ENHANCED%20ARTIFICIAL%20IMMUNE%20SYSTEM.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Adapting Artificial Immune Algorithms For University Timetabling
بواسطة: Malim , Muhammad Rozi
منشور في: (2009) -
Development Of Energy-Balanced Node
Deployment Strategies To Reduce Energy
Hole Problem In Wireless Sensor
Networks
بواسطة: Asharioun, Hadi
منشور في: (2015) -
Hybridization Of Optimized Support
Vector Machine And Artificial Neural
Network For The Diabetic Retinopathy
Classification Problem
بواسطة: Kader, Nur Izzati Ab
منشور في: (2019) -
Assessing Malaysia’s Manufactured Exports Competitiveness In The East Asian Region: A Shift-Share And Simulation Approach.
بواسطة: Leow, Ghin Yin
منشور في: (2010) -
Dynamic load balancing policies for clustered distributed system
بواسطة: Lim, Jay Wei Yik
منشور في: (2014)