Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout
المؤلفون المشاركون
Li, Zhibin
Wang, Hui
Hou, Shiwang
Wen, Haijun
Feng, Shunxiao
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-06-19
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Unequal area facilities layout problem (UA-FLP) is an inevitable problem in the process of new construction, reconstruction, and expansion of enterprises.
The rationality of the facilities layout has a great influence on the operation performance of the production system.
Finding the optimal solution of UA-FLP according to the requirement of production process is the main content of the plant design.
The facilities were constrained by given areas and aspect ratio, respectively.
By adopting the method of slicing tree, the layout space was divided into multiple regions for each facility.
The genetic algorithm was developed by using layered coding to show the slicing process.
Considering the production logistics cost as well as the adjacency relations between the facilities, the goal function was established and the optimal solution was obtained by running the proposed algorithm.
Finally, the feasibility of the proposed approach was validated by a set of known problems.
The comparison results show that it can provide decision support for rapid optimal layout of multifacilities.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hou, Shiwang& Wen, Haijun& Feng, Shunxiao& Wang, Hui& Li, Zhibin. 2019. Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1129423
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hou, Shiwang…[et al.]. Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1129423
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hou, Shiwang& Wen, Haijun& Feng, Shunxiao& Wang, Hui& Li, Zhibin. Application of Layered Coding Genetic Algorithm in Optimization of Unequal Area Production Facilities Layout. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1129423
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129423
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