Abdulrahman Ahmed Bobakr Baqais

Work place: Dhahran, Saudi Arabia

E-mail: phd_abdulrahman@yahoo.com


Research Interests: Software Engineering


Abdulrahman Baqias obtained Ph.D. from King Fahd university of Petroleum and Minerals in 2016; he also obtained his Bachelor (Hons) in Software Engineering from Multimedia University, Malaysia in 2007 and his MSc from Staffordshire University, UK in 2010. His research interests including: software engineering, metaheuristics and search-based techniques and has published several articles in referred journal and conferences in these areas. He served as the session chair in IAENG conference in UK, 2013.

Author Articles
A Multi-view Comparison of Various Metaheuristic and Soft Computing Algorithms

By Abdulrahman Ahmed Bobakr Baqais

DOI: https://doi.org/10.5815/ijmsc.2017.04.02, Pub. Date: 8 Nov. 2017

AI algorithms have been applied in a wide spectrum of articles across different domains with great success in finding solutions. There is an increasing trend of applying these techniques on newer problems. However, the numerous numbers of algorithms that are classified as AI algorithm hinder the ability of any researcher to select which algorithm is suitable for his problem. The invention of new algorithms increases the difficulty for researchers to be updated about AI algorithms. This paper is intended to provide a multi-facet comparison between various AI algorithms in order to aid researchers in understanding the differences between some of the popular algorithms and select the suitable candidate for their problems.

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