An Innovative Mathematical Model and a Hybrid Genetic Algorithm for a Sustainable Decision Support System for the Alternative Fuel Capacitated Vehicle Routing Problem with Time Windows

Key Points

• The central aim is to create a sustainable decision support system that optimally routes vehicles with alternative fuels while considering time windows.
• Developed a mathematical model addressing the vehicle routing problem.
• Utilized a hybrid genetic algorithm for optimization.
• Focused on incorporating sustainability into decision-making processes.
• The model demonstrates improved efficiency in routing vehicles compared to traditional approaches.
• The hybrid genetic algorithm effectively reduces operational costs and environmental impact.
• Significant advancements in sustainable transportation logistics were observed.