## Abstract

The shortest path problem has been studied to be solved through diverse deterministic and also stochastic approaches such as Ant Colony Optimization. One of the most challenging issues with the implication of Ant Colony Optimization to solve the shortest path problem is parameter selection and tuning which is found crucial to improve the computational performance of problem-solving. To tune parameters, it is vital to observe the response of each parameter to different values and study their effect on the final results. In this research, two experiments are designed and conducted to study the behavior of parameters in terms of generated results and computational performance. In the first experiment, evaporation, updating, and transition rule parameters are studied by iterative execution of shortest path generation between nodes considering different parameter values. In the second experiment, the number of initial ants is studied. Inspecting the results, it is observed that to avoid premature stagnation decreasing α value is recommended. On the other hand, ρ is observed to be considered for tuning of speed and number of diffusions of the algorithm. Moreover, it is realized that a high Q value would result in more correct results. Inspecting the initial number of ants, a threshold is realized where increasing the number of ants over this threshold would drastically result in more optimized paths.

Original language | English |
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Title of host publication | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |

Subtitle of host publication | XXIV ISPRS Congress, Commission IV |

Editors | N. Paparoditis, C. Mallet, F. Lafarge, S. Zlatanova, S. Dragicevic, G. Sithole, G. Agugiaro, J.J. Arsanjani, P. Boguslawski, M. Breunig, M.A. Brovelli, S. Christophe, A. Coltekin, M.R. Delavar, M. Al Doori, E. Guilbert, C.C. Fonte, J. Hayworth, U. Isikdag, I. Ivanova, Z. Kang, K. Khoshelham, M. Koeva, M. Kokla, Y. Liu, M. Madden, M.A. Mostafavi, G. Navratil, D.R. Paudyal, C. Pettit, A. Spano, E. Stefanakis, W. Tu, G. Vacca, L. Diaz-Vilarino, S. Wise, H. Wu, X.G. Zhou |

Publisher | International Society for Photogrammetry and Remote Sensing (ISPRS) |

Pages | 147-154 |

Number of pages | 8 |

Volume | V-4-2020 |

DOIs | |

Publication status | Published - 3 Aug 2020 |

Externally published | Yes |

Event | 2020 24th ISPRS Congress - Technical Commission IV on Spatial Information Science - Nice, Virtual, France Duration: 31 Aug 2020 → 2 Sep 2020 |

### Publication series

Name | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Publisher | Copernicus |

ISSN (Print) | 2194-9042 |

### Conference

Conference | 2020 24th ISPRS Congress - Technical Commission IV on Spatial Information Science |
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Country | France |

City | Nice, Virtual |

Period | 31/08/20 → 2/09/20 |

## Keywords

- Ant Colony Optimization
- Geo-Informatics
- Parameter Selection
- Shortest Path Problem
- ITC-CV