| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01140 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101140 | |
| Published online | 05 June 2023 | |
Performance Comparison of Depth Limited Search and A* Algorithm: A Case Study
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India
2 UG Student, Department of CSBS, GRIET, Hyderabad, Telangana, India
* Corresponding author: tarunsrisai03@gmail.com
Search algorithms are an essential component of many artificial intelligence applications. Depth Limited Search and A* Search are two prominent search algorithms that have been widely used in various domains, including robotics, game playing, and natural language processing. The research paper presents an overview of these two algorithms, their architecture, pros and cons, and the areas of their application. A detailed comparison of these two algorithms in terms of their performance, efficiency, and effectiveness in solving various search problems is also analysed. Finally, the paper presents a case study for two approaches. Experimental results depicted that after repetitive execution of each algorithm and graph data, it was detected that while the A-star search was able to find the cheaper cost almost always, Depth Limited Search was able to find the route faster with limited node visits.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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