Xiaokan Wang*, Qiong Wang
Journal on Internet of Things, Vol.3, No.1, pp. 1-9, 2021, DOI:10.32604/jiot.2021.010228
- 16 March 2021
Abstract A multi-objective improved genetic algorithm is constructed to solve
the train operation simulation model of urban rail train and find the optimal
operation curve. In the train control system, the conversion point of operating
mode is the basic of gene encoding and the chromosome composed of multiple
genes represents a control scheme, and the initial population can be formed by
the way. The fitness function can be designed by the design requirements of the
train control stop error, time error and energy consumption. the effectiveness of
new individual can be ensured by checking the validity More >
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