Cycle time minimization in production line using robust hybrid optimization algorithm
Bio-inspired algorithms that have been introduced by mimicking the biological phenomenon of nature have widely implemented to cater various real-world problems. As example, memetic algorithm, EGSJAABC3 is applied for economic environmental dispatch (EED) optimization, Hybrid Pareto Grey Wolf Optimiz...
محفوظ في:
المؤلفون الرئيسيون: | Noorazliza, Sulaiman, Zetty Ain, Kamaruzzaman, Junita, Mohamad Saleh, Ahmad Afif, Ahmarofi |
---|---|
التنسيق: | Conference or Workshop Item |
اللغة: | English |
منشور في: |
2021
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://umpir.ump.edu.my/id/eprint/34849/1/Cycle%20time%20minimization%20in%20production%20line%20using%20robust%20hybrid%20optimization%20algorithm.CITREX2021..pdf http://umpir.ump.edu.my/id/eprint/34849/ |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Review on bio-inspired algorithms approach to solve assembly line balancing problem
بواسطة: Noorazliza, Sulaiman, وآخرون
منشور في: (2019) -
Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies
بواسطة: Valikhan-Anaraki, Mahdi, وآخرون
منشور في: (2019) -
Variations in the number of hidden nodes through multilayer perceptron networks to predict cycle time
بواسطة: Ahmad Afif, Ahmarofi, وآخرون
منشور في: (2020) -
AFSA-SLnO variants for enhanced global optimization
بواسطة: Norazian, Subari, وآخرون
منشور في: (2022) -
An integrated approach of artificial neural networks and system dynamics for estimating product completion time in a semiautomatic production
بواسطة: Ahmad Afif, Ahmarofi
منشور في: (2019)