Optimization of urban travel routes based on simulated annealing and genetic algorithm

Peizhen Qiu; Jing Wang; Shuhuai Gu; Dongran Wu; Qi Xi

doi:10.1117/12.3011611

7 December 2023 Optimization of urban travel routes based on simulated annealing and genetic algorithm

Peizhen Qiu, Jing Wang, Shuhuai Gu, Dongran Wu, Qi Xi

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294116 (2023) https://doi.org/10.1117/12.3011611
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

This paper adopts a combined optimization approach using Simulated Annealing and Genetic Algorithm based on the travel purpose as a determining criterion. It selects one destination among multiple travel destinations and derives the optimal route based on the latitude and longitude information of the destination. The research aims to overcome the limitations of traditional navigation software, which requires explicit destination input to plan a route, and achieve intelligent route planning based on travel purposes. By identifying the travel purpose and selecting appropriate destinations to form the optimal solution, this study successfully addresses the limitations of conventional travel planning. The combined algorithm makes full use of the global search capability of Simulated Annealing and the optimization effectiveness of Genetic Algorithm, achieving superior travel routes by optimizing the initial solution. Experimental results and comparative analysis demonstrate that the travel route planning method based on the combination of Simulated Annealing and Genetic Algorithm exhibits significant advantages in solving complex travel problems, providing users with intelligent and efficient travel decision support. This research contributes to the innovation and improvement of travel planning technology, bringing greater convenience and comfort to the travel experience.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peizhen Qiu, Jing Wang, Shuhuai Gu, Dongran Wu, and Qi Xi "Optimization of urban travel routes based on simulated annealing and genetic algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294116 (7 December 2023); https://doi.org/10.1117/12.3011611

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KEYWORDS

Mathematical optimization

Algorithms

Genetic algorithms

Algorithm development

Gallium

Particles

Genetics

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