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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Experimental evaluation of BELA0/BELA* (ECAI 2024)

Authors: Linares López, Carlos; Herman, Ian;

Experimental evaluation of BELA0/BELA* (ECAI 2024)

Abstract

Data files with the information required to replicate all the experiments reported in the paper: Linares López, Carlos; Herman, Ian, 2024. Evolving A* to Efficiently Solve the k Shortest-Path Problem. Proceedings of the Twenty-Seventh European Conference on Artificial Intelligence (ECAI 2024). Santiago de Compostela (Spain). This record contains only the test files needed to test any of the algorithms implemented in the different domains (maps, roadmap, n-puzzle and n-pancake). While these files can be used to run the experiments manually, there are different scripts available in the github repository "ksearch" which automate the experimentation and also the recollection of data and the presentation of results under the directory "scripts". Files are structured as follows: random512: data files used in the maps domain: random512-*.map contains the map whose contents are explained in the movingai repository. random512-*.test contains the testcases for every map. test-{10, 20, 30, 40}.test: data files used in the {10, 20, 30, 40}-Pancake {9, 16}puzzle.test: data files used in the 8- and 15-Puzzle. USA-road.d: data files used in the roadmap domain To be able to run the experiments in the roadmap domain it is necessary also to have the .gr and .co files located in the same directory than the USA-road-d.test files (these are available in the 9th DIMACS Implementation Challenge: Shortest Paths) The format of all the data files is explained in the README.md files of the "ksearch" github repo under the corresponding directory. All tests have been randomly generated. The criteria for the random selection is explained in the main paper, and the executables that pick up every testcase are named "gen-*" and are built automatically by the building script.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average