A Survey on Intelligent Water Drop Algorithm

Authors

  • Bashar Abedal Mohdi AlDeeb Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia.
  • Norita Md Norwawi Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia.
  • Mohammed A. Al-Betar School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia. Al-Huson University College, Al-Balqa Applied University, P.O. Box 50, Al-Huson, Irbid, Jordan

DOI:

https://doi.org/10.24297/ijct.v13i10.2329

Keywords:

Intelligent Water Drop, Swarm Intelligent, Meta-heuristic and Optimization.

Abstract

In the optimization areas, there are different algorithms that have been applied such as swarm intelligence algorithms. The researchers have found different algorithms by simulating the behaviors of various swarms of insects and animals such as fishes, bees, and ants. The intelligent water drops algorithm is one of the recently developed algorithms in the swarm intelligence field; this algorithm mimicked the dynamic of river systems. The natural water drops used to develop Intelligent Water Drop (IWD) algorithm. Therefore, the mechanisms that happen in rivers have inspired the researchers mainly to create new algorithms. IWD is a population-based algorithm where each drop represents a solution and the sharing between the drops during the search lead to a better drops (or solutions). This paper presents recent developments of the IWD algorithms in terms of theory and application. This paper concludes many of research directions that are necessary for the future of IWD algorithm.

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Author Biographies

Bashar Abedal Mohdi AlDeeb, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia.

Faculty of Science and Technology

Norita Md Norwawi, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia.

Faculty of Science and Technology

Mohammed A. Al-Betar, School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia. Al-Huson University College, Al-Balqa Applied University, P.O. Box 50, Al-Huson, Irbid, Jordan

Department of Information Technology

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Published

2014-10-30

How to Cite

AlDeeb, B. A. M., Norwawi, N. M., & Al-Betar, M. A. (2014). A Survey on Intelligent Water Drop Algorithm. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 13(10), 5075–5084. https://doi.org/10.24297/ijct.v13i10.2329

Issue

Section

Research Articles