Optimization design based on hierarchic genetic algorithm and particles swarm algorithm
For a lot of data, it is time-consuming and unpractical to get the best combination by manual tests. The genetic algorithm can make up for this shortcoming through the optimization of parameters. In this paper, the advantages of traditional similarity algorithm is studied, the time model and the tru...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2018-09-01
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| Series: | Journal of Algorithms & Computational Technology |
| Online Access: | https://doi.org/10.1177/1748301818770943 |