Evolving A* to Efficiently Solve the k Shortest-Path Problem (Extended Version)
<|reference_start|>Evolving A* to Efficiently Solve the k Shortest-Path Problem (Extended Version): The problem of finding the shortest path in a graph G(V, E) has been widely studied. However, in many applications it is necessary to compute an arbitrary number of them, k. Even though the problem has raised a lot of interest from different research communities and many applications of it are known, it has not been addressed to the same extent as the single shortest path problem. The best algorithm known for efficiently solving this task has a time complexity of O (|E| + |V|log{|V|}+k|V|)$ when computing paths in explicit form, and is based on best-first search. This paper introduces a new search algorithm with the same time complexity, which results from a natural evolution of A* thus, it preserves all its interesting properties, making it widely applicable to many different domains. Experiments in various testbeds show a significant improvement in performance over the state of the art, often by one or two orders of magnitude.<|reference_end|>
@article{lópez2024evolving,
    title={Evolving A* to Efficiently Solve the k Shortest-Path Problem (Extended
  Version)},
    author={Carlos Linares L'opez and Ian Herman},
    journal={arXiv preprint arXiv:2408.08227},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.08227},
    primaryClass={cs.DS cs.AI}
}