Data for: A Cooperative Target Search Method Based on Intelligent Water Drops Algorithm

Published: 21 Oct 2019 | Version 1 | DOI: 10.17632/jyv9yk2y32.1

Description of this data

Simulation experiments results (search efficiency, region coverage rate, environment uncertainty reduction and the probability of collision of the proposed method, search methods based on the random search, greedy search, particle swarm optimization algorithm, ant colony algorithm, Q learning, conventional IWD algorithm, and the IWD algorithm with co-evolutionary strategy).

Experiment data files

This data is associated with the following publication:

A cooperative target search method based on intelligent water drops algorithm

Published in: Computers and Electrical Engineering

Latest version

  • Version 1

    2019-10-21

    Published: 2019-10-21

    DOI: 10.17632/jyv9yk2y32.1

    Cite this dataset

    Cai, Chao; Sun, Xixia; Pan, Su; Zhang, Zhengning; Li, Qiyu (2019), “Data for: A Cooperative Target Search Method Based on Intelligent Water Drops Algorithm”, Mendeley Data, v1 http://dx.doi.org/10.17632/jyv9yk2y32.1

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Control Engineering

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