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شريفة أحمد محمد الغامدي

Lecturer

محاضرة بقسم تقنية المعلومات

علوم الحاسب والمعلومات
6T23
publication
Conference Paper
2011

Improved Distributed Genetic Algorithms Based on Their Methodologies and Processes

Aboalsamh, • Arwa Al-Edaily, Nada Al-Zaben, Sharefah Al-Ghamdi, Hatim . 2011

In this paper we evaluates the effectiveness of three different distributed genetic algorithms (DGAs). The first one is DGA with Diversity Guided Migration, second one is DGA with Automated Adaptive Migration and the last one is DGA with Bicoded chromosomes and confidence rates. All these algorithms were investigated to improve the overall quality of solutions in the distributed genetic algorithm for different problems. Our comparison between those algorithms depended on some important factors ;like, achieving diversity in selecting individuals, process of replacing the individuals between subpopulations, computational time and memory space. As a result, DGA with Diversity Guided Migration (DGM), was nominated to be better than the other DGAs. It improves the performance for many problems and search spaces. 

Conference Location
Paris, France,
Conference Name
Proceedings of the European Computing Conference,
more of publication
publications

The 3rd Workshop on Open-Source Arabic Corpora and Processing Tools introduces ArabicWeb16 Data Challenge track. The challenge is about experimenting with ArabicWeb16 dataset, the largest Arabic…

by Sharefah Al-Ghamdi; Mashael Al-Duwais; Hend Al-Khalifa; and Abdulmalik Al-Salman
2018
publications

Data mining techniques have been shown its success in analyzing data to assist factors and make decisions in many different applications. In this work, we analyzed universities' faculty members…

by Sharefah Al-Ghamdi; Sumayah Al-Rabiaah
2018
publications

Natural language processing (NLP) is the branch of Artificial Intelligence that is concerned with enabling computers understand human languages. Implementing new NLP tools that effectively and…

2017