What’s Hot in Heuristic Search
Authors: Roni Stern, Levi Lelis
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this extended abstract we highlight recent progress in: 1) the development and understanding of suboptimal search algorithms, 2) the design of ensembles of search algorithms and heuristics, and 3) the use of meta-reasoning to orchestrate autonomously different search algorithms components. Also, we point to several recent and innovative applications of heuristic search. This extended abstract is by no means an exhaustive review of heuristic search research, but a highlight of recent research in the field. |
| Researcher Affiliation | Academia | Roni Stern1 and Levi H. S. Lelis2 1 Ben Gurion University of the Negev, Israel e-mail: roni.stern@gmail.com 2 Universidade Federal de Vicosa, Brazil e-mail: levi.lelis@ufv.br |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper is a review and does not describe a new methodology for which open-source code is provided. |
| Open Datasets | No | The paper is a review and does not conduct its own experiments with datasets, thus it does not provide concrete access information for a publicly available or open dataset. |
| Dataset Splits | No | The paper is a review and does not describe experiments, therefore it does not provide specific dataset split information for training, validation, or testing. |
| Hardware Specification | No | The paper does not provide specific hardware details used for running any experiments by the authors, as it is a review. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers, as it is a review and does not describe its own experimental setup. |
| Experiment Setup | No | The paper does not contain specific experimental setup details, hyperparameters, or training configurations, as it is a review and does not describe its own experiments. |