@inproceedings{bc83effaf10143e4825fbc7a208e5ad0,
title = "QML-AiNet: An Immune-inspired Network Approach to Qualitative Model Learning",
abstract = "In this paper we continue the research on applying immune- inspired algorithms as search strategies to Qualitative Model Learning (QML). A new search strategy based on opt-AiNet is proposed, and this results in the development of a novel QML system called QML-AiNet. The performance of QML-AiNet is compared with previous work us- ing the CLONALG approach. Experimental results shows that although not as efficient as CLONALG, the opt-AiNet based approach still shows promising results for learning qualitative models. In addition, possible fu- ture work to further improve the efficiency of QML-AiNet is also pointed out.",
author = "Wei Pang and Coghill, {George MacLeod}",
year = "2010",
doi = "10.1007/978-3-642-14547-6_18",
language = "English",
isbn = "978-3-642-14546-9",
series = " Lecture Notes in Computer Science",
publisher = "Springer",
pages = "223--236",
editor = "Hart, {Emma } and McEwan, {Chris } and Timmis, {Jon } and Hone, {Andy }",
booktitle = "ICARIS 2010: Artificial Immune Systems",
}