Research Article
Multiobjective Differential Evolution with Discrete Elite Guide in Internet of Vehicles Roadside Unit Deployment
# ,parent population; , ofspring population; Gm, the maximum generation; , number of population; , individual dimension; | 01 Begin | 02 Set; | 03 Create a random initial population | 05 For =1 to Gm | 06 The vectors population is assigned to 1 or 0 as in (8) | 07 Algorithm 2 calculates the fitness function | 08 Algorithm 3 generates elitist individuals according to the crowding distance sorting and the fast non-dominated sorting | 09 For =1 to NP | 10 Use (11) to create a mutant vector | 11 Use (3) to create a crossover vector | 12 Use (4) to select a selection vector | 13 End for | 14 | The population are 2NP after combining the parent population and the selection population | 15 End for | 16 End |
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