Open Access
Table 2
Effectiveness comparison of the proposed algorithms.
| Multi-objective TSP | Distance (km) | Time (min) | Cost (Tk) | Multi-objective optimization | Execution time (s) |
|---|---|---|---|---|---|
| Greedy Algorithm | 643.5 | 1220 | 1923.3 | 1200.39 | 0.00564 |
| Brute Force | 886 | 1660 | 2964.39 | 1741.171 | 0.33142 |
| Branch and Bound Algorithm | 782.099 | 1481 | 2228.22 | 1425.606 | 0.00178 |
| Dynamic Programming Algorithm | 886 | 1661 | 2964.399 | 1742.02 | 0.008623 |
| Nearest Neighborhood algorithm | 948.5 | 1706 | 3006.86 | 1793.26 | 0.000998 |
| Genetic Algorithm (GA) | 886 | 1660 | 2964.4 | 1741.72 | 0.04434 |
| Ant Colony Optimization (ACO) | 1016.8 | 1873 | 3252.16 | 1944.27 | 3.623 |
| Simulated Annealing (SA) | 861.39 | 1571 | 2910.28 | 1688.94 | 0.0153 |
| Particle Swarm Optimisation (PSO) | 886.0 | 1660 | 2964.39 | 1741.72 | 0.122 |
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