Optimum analysis of pavement maintenance using multi-objective genetic algorithms
المؤلفون المشاركون
al-Hadidi, Amr A.
al-Biltaji, Imad E.
Ammar, Muhammad A.
المصدر
Housing and Building National Research Center Journal
العدد
المجلد 11، العدد 1 (30 إبريل/نيسان 2015)، ص ص. 107-113، 7ص.
الناشر
المركز القومي لبحوث الإسكان و البناء
تاريخ النشر
2015-04-30
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الموضوعات
الملخص EN
Road network expansion in Egypt is considered as a vital issue for the development of the country.
This is done while upgrading current road networks to increase the safety and efficiency.
A pavement management system (PMS) is a set of tools or methods that assist decision makers in finding optimum strategies for providing and maintaining pavements in a serviceable condition over a given period of time.
A multi-objective optimization problem for pavement maintenance and rehabilitation strategies on network level is discussed in this paper.
A two-objective optimization model considers minimum action costs and maximum condition for used road network.
In the proposed approach, Markov-chain models are used for predicting the performance of road pavement and to calculate the expected decline at different periods of time.
A genetic-algorithm-based procedure is developed for solving the multi-objective optimization problem.
The model searched for the optimum maintenance actions at adequate time to be implemented on an appropriate pavement.
Based on the computing results, the Pareto optimal solutions of the twoobjective optimization functions are obtained.
From the optimal solutions represented by cost and condition, a decision maker can easily obtain the information of the maintenance and rehabilitation planning with minimum action costs and maximum condition.
The developed model has been implemented on a network of roads and showed its ability to derive the optimal solution.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Hadidi, Amr A.& al-Biltaji, Imad E.& Ammar, Muhammad A.. 2015. Optimum analysis of pavement maintenance using multi-objective genetic algorithms. Housing and Building National Research Center Journal،Vol. 11, no. 1, pp.107-113.
https://search.emarefa.net/detail/BIM-564255
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Hadidi, Amr A.…[et al.]. Optimum analysis of pavement maintenance using multi-objective genetic algorithms. Housing and Building National Research Center Journal Vol. 11, no. 1 (Apr. 2015), pp.107-113.
https://search.emarefa.net/detail/BIM-564255
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Hadidi, Amr A.& al-Biltaji, Imad E.& Ammar, Muhammad A.. Optimum analysis of pavement maintenance using multi-objective genetic algorithms. Housing and Building National Research Center Journal. 2015. Vol. 11, no. 1, pp.107-113.
https://search.emarefa.net/detail/BIM-564255
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 112-113
رقم السجل
BIM-564255
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