2023
DOI: 10.35870/ijsecs.v3i3.1872
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Enhancing Logistic Efficiency in Product Distribution through Genetic Algorithms (GAs) for Route Optimization

Loso Judijanto,
Tribowo Rachmat Fauzan,
Bobby Fisher

Abstract: This research highlights the significant potential of Genetic Algorithms (GA) as a powerful tool for optimizing logistics distribution routes. The utilization of GA has led to substantial improvements in route efficiency, resulting in cost reductions and shorter delivery times. Notably, the inclusion of customer satisfaction as a key parameter in route optimization emphasizes the importance of meeting customer expectations and ensuring timely deliveries. Additionally, the study recognizes the positive environm… Show more

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