ML Anthology

Improved Knowledge Acquisition for High-Performance Heuristic Search

Joachim Peter Bekmann, Achim G. Hoffmann
IJCAI 2005 pp. 41-46
/ijcai/2005/bekmann2005ijcai-improved/

Abstract

We present a new incremental knowledge acquisition approach that incrementally improves the performance of a probabilistic search algorithm. The approach addresses the known difficulty of tuning probabilistic search algorithms, such as genetic algorithms or simulated annealing, for a given search problem by the introduction of domain knowledge.

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Text

Bekmann and Hoffmann. "Improved Knowledge Acquisition for High-Performance Heuristic Search." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Bekmann and Hoffmann. "Improved Knowledge Acquisition for High-Performance Heuristic Search." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/bekmann2005ijcai-improved/)

BibTeX

@inproceedings{bekmann2005ijcai-improved,
  title     = {{Improved Knowledge Acquisition for High-Performance Heuristic Search}},
  author    = {Bekmann, Joachim Peter and Hoffmann, Achim G.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {41-46},
  url       = {https://mlanthology.org/ijcai/2005/bekmann2005ijcai-improved/}
}