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May 1, 2026International Journal of Industrial and Systems Engineering0 citations

Optimisation of emergency logistics distribution paths in sudden heavy rain and flood disasters using a genetic algorithm

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HNHu Qiaodeng N.A.WNWei Wenqi N.A.SNShi Wenqiang N.A.

Key Points

  • The study aims to enhance logistics distribution during heavy rain and flood disasters using genetic algorithms.
  • Utilized a genetic algorithm for optimizing distribution paths during flood conditions.
  • Simulated various environmental scenarios to assess logistics performance.
  • Analyzed distribution efficiency metrics to evaluate outcomes.
  • Improved routing efficiency by 30% during flood simulations.
  • Achieved a significant reduction in delivery times, enhancing emergency response effectiveness.
  • Demonstrated algorithm's adaptability across different flood scenarios.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

N.A. et al. (2025) studied this question.

synapsesocial.com/papers/69f44390967e944ac5566baahttps://doi.org/10.1504/ijise.2025.10077997
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