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Multi-Objective Reentrant Hybrid Flowshop Scheduling with Machines Turning on and off Control Strategy Using Improved Multi-Verse Optimizer Algorithm
المؤلفون المشاركون
Geng, Kaifeng
Ye, Chunming
Liu, Li
Cao, Lei
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-06-27
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
This paper focuses on the multi-objective optimization of the reentrant hybrid flowshop scheduling problem (RHFSP) with machines turning on and off control strategy.
RHFSP exhibits significance in many industrial applications, but scheduling with both energy consumption consideration and reentrant concept is relatively unexplored at present.
In this study, an improved Multi-Objective Multi-Verse Optimizer (IMOMVO) algorithm is proposed to optimize the RHFSP with objectives of makespan, maximum tardiness, and idle energy consumption.
To solve the proposed model more effectively, a series of improved operations are carried out, including population initialization based on Latin hypercube sampling (LHS), individual position updating based on Lévy flight, and chaotic local search based on logical self-mapping.
In addition, a right-shift procedure is used to adjust the start time of operations aiming to minimize the idle energy consumption without changing the makespan.
Then, Taguchi method is utilized to study the influence of different parameter settings on the scheduling results of the IMOMVO algorithm.
Finally, the performance of the proposed IMOMVO algorithm is evaluated by comparing it with MOMVO, MOPSO, MOALO, and NSGA-II on the same benchmark set.
The results show that IMOMVO algorithm can solve the RHFSP with machines turning on and off control strategy effectively, and in terms of convergence and diversity of non-dominated solutions, IMOMVO is obviously superior to other algorithms.
However, the distribution level of the five algorithms has little difference.
Meanwhile, by turning on and off the machine properly, the useless energy consumption in the production process can be reduced effectively.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Geng, Kaifeng& Ye, Chunming& Cao, Lei& Liu, Li. 2019. Multi-Objective Reentrant Hybrid Flowshop Scheduling with Machines Turning on and off Control Strategy Using Improved Multi-Verse Optimizer Algorithm. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1194830
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Geng, Kaifeng…[et al.]. Multi-Objective Reentrant Hybrid Flowshop Scheduling with Machines Turning on and off Control Strategy Using Improved Multi-Verse Optimizer Algorithm. Mathematical Problems in Engineering No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1194830
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Geng, Kaifeng& Ye, Chunming& Cao, Lei& Liu, Li. Multi-Objective Reentrant Hybrid Flowshop Scheduling with Machines Turning on and off Control Strategy Using Improved Multi-Verse Optimizer Algorithm. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1194830
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194830
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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