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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