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

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