يجب تسجيل الدخول أولا
Development of Optimized Itinerary Agent Design Pattern Using Development Algorithm
| المؤلف الرئيسي: | الرفاعي، فواز ناصر (مؤلف) |
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| مؤلفين آخرين: | Al Shrouf, Faiz (Advisor) |
| التاريخ الميلادي: |
2020
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| موقع: | عمان |
| الصفحات: | 1 - 34 |
| رقم MD: | 1097213 |
| نوع المحتوى: | رسائل جامعية |
| اللغة: | الإنجليزية |
| الدرجة العلمية: | رسالة ماجستير |
| الجامعة: | جامعة الاسراء الخاصة |
| الكلية: | كلية تكنولوجيا المعلومات |
| الدولة: | الاردن |
| قواعد المعلومات: | Dissertations |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
22
| المستخلص: |
The Personal Computer (PC) framework has been advanced from a solid PC gadget to a significantly more perplexing customer worker condition in earlier years. One of those recently evolved advancements is the Mobile Agent (MA). A MA is a creation of program and information that can (move) starting with one PC then onto the next self-rulingly and proceeds with its execution on the goal PC. As a general rule, the portable operator is the code/object moving which goes in its itinerary inside the system of associated hubs. In this thesis, the best way in insignificant time is found by relocating the Mobile Agent from the source hub to the goal hub utilizing the numerical procedure and streamlining strategy. This work centers on how to locate the best way using the Itinerary design pattern and the Ant Colony Optimization (ACO) algorithm with the Java Agent Development Framework (JADE). When comparing the algorithms with each other, time is considered an essential measure for selecting the best path when using the proposed approached the time of selecting the best path is 271.511, After figuring out the best path, the path will be compared with those of similar works that used the master-slave design pattern with the Genetic Algorithm (GA) and also that used the Node Compression Algorithm (NCA). |
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