On the Problem of Covering a 3-D Terrain
Authors: Eduard Eiben, Isuru Godage, Iyad Kanj, Ge Xia10361-10368
AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we implement two heuristic algorithms based on greedy approaches and report our findings. ... To test the two heuristic algorithms, we generated random landscapes... Tables 1 and 2 show the simulation results reported only for the three terrain ranges 10, 40, 80 and two camera ranges 4, 12, where the data was aggregated over the 10 terrains for each range. |
| Researcher Affiliation | Academia | 1Department of Computer Science, Royal Holloway, University of London, UK. Email: Eduard.Eiben@rhul.ac.uk 2School of Computing, De Paul University, USA. Emails: igodage@depaul.edu, ikanj@depaul.edu 3Department of Computer Science, Lafayette College, USA. Email: xiag@lafayette.edu |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access information (e.g., repository links, explicit release statements) for the source code of its methodology. It mentions using 'distmesh2d (Persson 2004)' and 'fractal landscape generation function in (Kaya 2013)', which are external tools. |
| Open Datasets | No | The paper states, 'To test the two heuristic algorithms, we generated random landscapes using the fractal landscape generation function in (Kaya 2013).' This indicates custom-generated data, and no access information (link, DOI, citation for public dataset) is provided for the generated landscapes. |
| Dataset Splits | No | The paper does not provide specific dataset split information (e.g., percentages, sample counts) for training, validation, or testing. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., GPU/CPU models, memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper mentions 'distmesh2d' and a 'fractal landscape generation function' by specific authors (Persson 2004, Kaya 2013), and one reference includes 'MATLAB' in its URL. However, it does not specify version numbers for these or any other software dependencies crucial for replication of their own implementation. |
| Experiment Setup | Yes | We generated 10 random landscapes for each range between 10 and 80, in multiples of 10. Tables 1 and 2 show the simulation results reported only for the three terrain ranges 10, 40, 80 and two camera ranges 4, 12, where the data was aggregated over the 10 terrains for each range. |