Journal of System Simulation
Abstract
Abstract: Aiming at the optimal control of the multi-robot combination maximum coverage area, based on the intensity radial attenuation disc model and following the superposition principle, a method for estimating, optimizing and predicting the effective coverage area of the multi-robot combination is proposed. The Monte Carlo method is used to estimate the effective coverage area of the robot combination, and the multiple population genetic algorithm is used to obtain the maximum effective coverage area of the combination, and the support vector machine regression is used to predict the relationship between the number of robots and the maximum effective coverage area. Simulation experiments are carried out for the optimization and prediction results. The results show that the method has good optimization and prediction performance when the target function is complex, and the number of training samples is limited.
Recommended Citation
Wang, Yutong; Ma, Shiwei; Yang, Yuanrui; and Chen, Chaoyu
(2022)
"Optimization and Prediction for Multi-robot Combination Maximum Coverage Area,"
Journal of System Simulation: Vol. 34:
Iss.
1, Article 10.
DOI: 10.16182/j.issn1004731x.joss.20-0630
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss1/10
First Page
86
Revised Date
2020-09-16
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0630
Last Page
92
CLC
TP391.4
Recommended Citation
Wang Yutong, Ma Shiwei, Yang Yuanrui, Chen Chaoyu. Optimization and Prediction for Multi-robot Combination Maximum Coverage Area[J]. Journal of System Simulation, 2022, 34(1): 86-92.
DOI
10.16182/j.issn1004731x.joss.20-0630
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