Journal of System Simulation
Abstract
Abstract: Aiming at the allocation conflict between task and operator of multi-seats collaborative task planning in command and control cabin, a multi-seats collaborative task planning method based on improved particle swarm optimization is proposed. This method describes and analyzes the multi-seats collaborative task and establishes a solution space model based on task sequence. In solving the model, the particle swarm optimization (PSO) was improved by using multi-dimensional asynchronous processing and modifying inertia weight parameters so that the efficiency and local searching ability of the PSO were improved. The example analysis shows that the model and the algorithm can effectively reduce the execution time of multi-seats collaborative task, which has certain reference value for the multi-seats collaborative task planning in the command and control cabin, and is of great significance for improving the efficiency in combat.
Recommended Citation
Rui, Cai; Wei, Wang; Qu, Jue; and Bo, Hu
(2019)
"Multi-seats Collaborative Task Planning Based on Improved Particle Swarm Optimization,"
Journal of System Simulation: Vol. 31:
Iss.
5, Article 24.
DOI: 10.16182/j.issn1004731x.joss.18-0801
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss5/24
First Page
1019
Revised Date
2018-12-17
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.18-0801
Last Page
1025
CLC
E83
Recommended Citation
Cai Rui, Wang Wei, Qu Jue, Hu Bo. Multi-seats Collaborative Task Planning Based on Improved Particle Swarm Optimization[J]. Journal of System Simulation, 2019, 31(5): 1019-1025.
DOI
10.16182/j.issn1004731x.joss.18-0801
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