Deepshikha Bhargava

Work place: Amity Institute of Information Technology, Amity University Rajasthan, India

E-mail: dbhargava1@jpr.amity.edu

Website:

Research Interests: Computational Science and Engineering, Autonomic Computing, Computer Architecture and Organization

Biography

Deepshikha Bhargava: She has more than 15 years of teaching experience. At present she is heading Amity Institute of Information Technology, Amity University Rajasthan, and Jaipur. She has overall 16 book publications into her credit and one under publication. She has presented and published more than 30 research papers in International & National Journals and Conferences. She is Member of International Association of Computer Science and Information Technology (IACSIT) Singapore, International Computer Science Teachers Association (CSTA), ACM-USA, Computer Society of India (CSI), Indian Society of Lightening Engineers (ISLE), India. She has also member of Reviewer & Editorial Board of International and National Journals: “International Journal of Science and Research (IJSR)”, “International Journal of Advanced and Innovative Research (IJAIR)”, “International Journal of Computing (JCT)”, “International Journal of Engineering Associates (IJEA)”, “International Journal of Emerging Technologies and Applications in Engineering, Technology and Sciences (IJETAETS)”, “International Journal of Computer Applications in Engineering, Technology and Sciences (IJCAETS)”, “Blue Ocean Research Journal (BORJ)” and “International Journal of Soft Computing and Engineering (IJSCE)”.

Author Articles
Impact of Modification Rate in Artificial Bee Colony for Engineering Design Problems

By Tarun Kumar Sharma Millie Pant Deepshikha Bhargava

DOI: https://doi.org/10.5815/ijieeb.2013.06.07, Pub. Date: 8 Dec. 2013

Artificial Bee Colony (ABC), a recently proposed population based search heuristics which takes its inspiration from the intelligent foraging behavior of honey bees. In this study we have studied the impact of modification rate (MR) in basic ABC by gradually increasing it from 0.1 to 0.9. This impact is studied on four engineering design problems taken from literature. The simulated results show that it is beneficial to set the modification rate to a lower value.

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