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The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
Abstract
A natural river often finds good paths among lots of possible paths in its ways from the source to destination. These near optimal or optimal paths are obtained by the actions and reactions that occur among the water drops and the water drops with the riverbeds. The intelligent water drops (IWD) algorithm is a new swarm-based optimisation algorithm inspired from observing natural water drops that flow in rivers. In this paper, the IWD algorithm is tested to find solutions of the n-queen puzzle with a simple local heuristic. The travelling salesman problem (TSP) is also solved with a modified IWD algorithm. Moreover, the IWD algorithm is tested with some more multiple knapsack problems (MKP) in which near-optimal or optimal solutions are obtained.
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Sörensen, K. (2015) · International Transactions in Operational Research · doi:10.1111/itor.12001 · Cited by 1,051
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Zhao, W., Wang, L., & Zhang, Z. (2019) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.08.030 · Cited by 699
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Metadata
- Authors
- Hosseini, H. S.
- Venue
- International Journal of Bio-Inspired Computation
- Publisher
- Inderscience Publishers
- Published
- 2009
- Volume
- 1
- Issue
- 1/2
- Pages
- 71
- ISSN
- 1758-0366 (ISSN-L)
- 1758-0374
- OpenAlex
- W2168009894
- Cited by
- 473
- References
- 9
- FWCI
- 19.16
- Type
- journal article
- Language
- en
- Open access
- closed
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