Genetic Algorithm Optimization for Reduced Terminal Costs & Enhanced Efficiency
This research employed a genetic algorithm to optimize a model, preserving an elite strategy similar to the Traveling Salesman Problem. The implementation utilized MATLAB to solve numerical experiments. This approach resulted in a 30% reduction in terminal operation costs and increased operational efficiency.
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