Research Article
The Optimization of Transportation Costs in Logistics Enterprises with Time-Window Constraints
| BEGIN | | Input: all necessary data related to customers and vehicles | | GA parameters: | | Generate a new population of individuals | | While maximal iteration number is not met DO | | Evaluate the individuals | | Select the better individuals | | Generate the offspring population using evolutionary operators | | Output: a set of non-dominated solutions | | END |
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