Research Article
A Personalized Urban Multicriteria Shortest Path Stochastic Optimization Algorithm
Table 3
The basic parameters’ values.
| Algorithm | Basic parameter | Value |
| The proposed algorithm | Maximum number of routes in the valid route set | 20 | Maximum number of iterations | 100 | Maximum number of routes generated by a route in each iteration | 5 | Minimum number of routes generated by a route in each iteration | 2 |
| The genetic algorithm | Maximum number of chromosomes in the population | 20 | Maximum number of iterations | 100 | Crossover probability | 0.9 |
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