Query Optimization Using Genetic Algorithms in the Vector SpaceModel
In information retrieval research; Genetic Algorithms (GA) can be used to find global solutions in many difficult problems. This study used different similarity measures (Dice, Inner Product) in the VSM, for each similarity measure we compared ten different GA approaches based on different fitness functions, different mutations and different crossover strategies to find the best strategy and fitness function that can be used when the data collection is the Arabic language. Our results shows that the GA approach which uses one-point crossover operator, point mutation and Inner Product similarity as a fitness function is the best IR system in VSM.
Keywords: information retrieval, vector space model, query optimization, genetic algorithms.
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ABOUT THE AUTHORS
Eman Al Mashagba
Dr. Eman Fares Al-mashakba is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Irbed University, Irbed, Jordan. She holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, Security, E-learning and image processing.
Feras Al Mashagba
Dr. Feras Fares Al-mashakba is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Amman Arab University, Amman, Jordan. He holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, artificial intelligence, M-commerce.
Mohammad Othman Nassar
Dr. Mohammad Othman Nassar is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Amman Arab University, Amman, Jordan. He worked as Assistant Professor at the Computer Information Systems department in the Arab Academy for Banking & Financial Sciences University. He holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, supply chain management, reengineering, outsourcing, and security. Dr. Nassar has published more than 12 articles in these fields in various journals and international conferences. He is included in the Panel of referees of \"International Journal of Modeling and Optimization\" and in the \"International Journal of Computer Theory and Engineering\", he was reviewer in the 2011 3rd International Conference on Machine Learning and Computing, also he is currently reviewer in A collection of open access journals called (academic journals).
Eman Al Mashagba
Dr. Eman Fares Al-mashakba is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Irbed University, Irbed, Jordan. She holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, Security, E-learning and image processing.
Feras Al Mashagba
Dr. Feras Fares Al-mashakba is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Amman Arab University, Amman, Jordan. He holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, artificial intelligence, M-commerce.
Mohammad Othman Nassar
Dr. Mohammad Othman Nassar is Assistant Professor at the Computer Information Systems department, faculty of computer sciences and informatics, Amman Arab University, Amman, Jordan. He worked as Assistant Professor at the Computer Information Systems department in the Arab Academy for Banking & Financial Sciences University. He holds a Ph.D. in Computer Information Systems from the Arab Academy for Banking & Financial Sciences University, Jordan. His research interests include information retrieval, supply chain management, reengineering, outsourcing, and security. Dr. Nassar has published more than 12 articles in these fields in various journals and international conferences. He is included in the Panel of referees of \"International Journal of Modeling and Optimization\" and in the \"International Journal of Computer Theory and Engineering\", he was reviewer in the 2011 3rd International Conference on Machine Learning and Computing, also he is currently reviewer in A collection of open access journals called (academic journals).
