Data for: A Cooperative Target Search Method Based on Intelligent Water Drops Algorithm
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:
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
The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.