Friday 26th of April 2024
 

Web Search Query Result Optimization based on Memetic Algorithms: A Comparative Study


L. Melita, Gopinath Ganapathy and Sebsibe Hailemariam

In recent years, the importance and volume of online biological databases, grows tremendously, which makes searching and manipulating data quite challenging.The present study was conducted to minimize the retrieval time of precise data from remote and voluminous databases using metasearch methods. The search query results were optimized by the proposed adaptive cellular Memetic Algorithms (ACMA) implemented over heterogeneous entomological databases. The performance of the algorithm was analyzed by comparing with Genetic Algorithms and with popular search engines like Yahoo, Bing and Ask. The results revealed that ACMA enhanced in efficiency for about thirty-seven times better than the Genetic Algorithms. Despite the growth of data, the performance of the algorithm improves in retrieval time, however making no compromise with its quality.The outcome of the present research could be useful for extending the idea for other similar research areas, and applications like life-science databases with slight modifications.

Keywords: Adaptive Cellular Memetic Algorithms, Web search query result Optimization, Metasearch engine, Genetic Algorithms

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ABOUT THE AUTHORS

L. Melita
L. Melita is the Assistant Professor and Chair-holder of the Information Systems Management Chair of the School of Computing, Jimma University, Jimma, Ethiopia. She is a scholar in Computer Science and has done her B.Sc in Madurai Kamaraj University, M.C.A in Manonmaniam Sundaranar University and her M.Phil in Madurai Kamaraj University. Her research interests are with Soft Computing, Bio-inspired Computing and Web mining. She has more than 12 years of teaching experience and nearly 9 years of research experience. She has published 11 articles in national and international conferences and journals. She is a member of IEEE. She has received many prizes and awards from her schooling for her proficiency in academics.

Gopinath Ganapathy
Gopinath Ganapathy PhD is the Professor and Head of the School of Computer Science, Applications and Engineering, Bharathidasan University, India. He did his under graduation and post graduation in 1986 and 1988 respectively from Bharathidasan University, India. He obtained his PhD degree, in Computer Science in 1996, from Madurai Kamaraj University, India.He received the Young Scientist Fellow Award for the year 1994 and eventually did the research work at IIT Madras. He was a Consultant for 12 years in the international firms in the USA and the UK, including IBM, Lucent Technologies (Bell Labs) and Toyota. His research interests include Modeling, Patterns, NLP, Web Engineering, and Text Mining. Gopinath has published more than 60 research papers. He is an editorial member for a few international journals. He is the “Fellow” of IACST, Senior Member in IEEE, ACM, Life Member in Indian Science Congress, ISTE and Computer Society of India and Chairman, Computer Society of India, Trichy Chapter. Currently he is the Director of Technology Park and the Chairman, School of Computer Science, Applications and Engineering, Bharathidasan University, Tamil Nadu.

Sebsibe Hailemariam
Department of Computer Science, Addisadbaba University, Ethiopia.


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