The model was optimized using a genetic algorithm, similar to the Traveling Salesman Problem, with an elite preservation strategy. This resulted in a 30% reduction in terminal operation costs and a significant improvement in operational efficiency.

Genetic Algorithm Optimization for Terminal Operations: 30% Cost Reduction

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