Research Article
Hybrid Genetic Algorithms for the Asymmetric Distance-Constrained Vehicle Routing Problem
| | Input: A chromosome. | | | Output: New chromosome. | | | fortodo | | | fortodo | | | If swapping cities αi and αj reduces the distance of the chromosome and does not violate distance constraint, then swap them | | | end for | | | end for | | | Return the new chromosome |
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