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Cited by 313

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Problem solving by intelligent water drops

Hosseini, Hamed Shah·2007·2007 IEEE Congress on Evolutionary Computation

Abstract

In this paper, we propose a new problem solving algorithm called "intelligent water drops" or IWD algorithm which is based on the processes that happen in the natural river systems and the actions and reactions that take place between water drops in the river and the changes that happen in the environment that river is flowing. It is observed that a river often chooses an optimum path regarding the conditions of its surroundings to get to its ultimate goal which is often a lake or sea. These ideas are embedded into the proposed algorithm for solving the traveling salesman problem or the TSP. The IWD algorithm is tested with artificial and standard TSP problems and the experimental results demonstrate that it is a very promising problem solving algorithm and deserves more research to improve it and/or to adapt it to other engineering problems.

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Metadata

Authors
Hosseini, H. S.
Venue
2007 IEEE Congress on Evolutionary Computation
Publisher
IEEE
Published
2007-09
Pages
3226-3231
OpenAlex
W2131332502
Cited by
313
References
8
FWCI
2.39
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Problem solving by intelligent water drops. https://app.cochat.ai/papers/10.1109/cec.2007.4424885
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Hosseini, H. S. (2007). Problem solving by intelligent water drops. 2007 IEEE Congress on Evolutionary Computation. https://doi.org/10.1109/cec.2007.4424885

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.