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An intelligence technique for route distance minimization to store and marketize the crop using computational
Saikat Banerjee1, Abhoy Chand Mondal2
1The department of Computer Applications, Vivekananda Mahavidyalaya, Haripal, Hooghly, West Bengal, India. saikat.banerjee56@gmail.com.
Scientific Reports
|August 6, 2025
Summary
Optimizing cold storage routes in India using computational intelligence algorithms can significantly reduce costs for farmers. The ant colony algorithm proved most effective in finding the most efficient paths for agricultural logistics.
Area of Science:
- Operations Research
- Computer Science
- Agricultural Logistics
Background:
- India's agricultural sector faces a storage gap despite production growth.
- Optimizing cold storage routes is crucial for farmer profitability.
- The traveling salesperson problem (TSP) is a key optimization challenge.
Purpose of the Study:
- To develop efficient connectivity between multiple cold storage facilities in India.
- To apply computational intelligence algorithms to solve the TSP for agricultural cold chains.
- To identify the most effective algorithm for minimizing cold storage route distances.
Main Methods:
- The study employed several computational intelligence algorithms: Greedy Algorithm, Simulated Annealing, 2-opt Algorithm, Particle Swarm Optimization, and Ant Colony Optimization.
- These algorithms were used to solve the traveling salesperson problem for optimizing cold storage facility routes.
- Route efficiency was evaluated based on minimizing travel distance and time.
Main Results:
- The Ant Colony Optimization algorithm demonstrated superior performance in finding the most efficient routes.
- All tested computational intelligence algorithms provided solutions to the TSP for cold storage connectivity.
- The research confirmed the applicability of computational intelligence in optimizing agricultural logistics.
Conclusions:
- Ant Colony Optimization is a highly effective method for optimizing cold storage routes in India.
- Implementing optimized routes can enhance the cost-effectiveness and efficiency of the Indian agricultural cold storage industry.
- Computational intelligence offers powerful tools for addressing complex logistical challenges in agriculture.
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