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Status已发表Published
TitleAn efficient segmentation algorithm for entity interaction
Creator
Date Issued2009-04-10
Source PublicationBiodiversity Informatics
ISSN1546-9735
Volume6Issue:1Pages:5-17
Abstract

The inventorying of biological diversity and studies in biocomplexity require the management of large electronic datasets of organisms. While species inventory has adopted structured electronic databases for some time, the computer modelling of the functional interactions between biological entities at all levels of life is still in the stage of development. One of the challenges for this type of modelling is the biotic interactions that occur between large datasets of entities represented as computer algorithms. In real-time simulation that models the biotic interactions of large population datasets, the use of computational processing time could be extensive. One way of increasing the efficiency of such simulation is to partition the landscape so that entities need only traverse its local space for entities that falls within the interaction proximity. This article presents an efficient segmentation algorithm for biotic interactions for research related to the modelling and simulation of biological systems.

Keywordsegmentation optimisation algorithms artificial life individual-based model agent-based model entity interaction
DOI10.17161/bi.v6i1.1633
URLView source
Language英语English
Citation statistics
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/11050
CollectionResearch outside affiliated institution
Corresponding AuthorCh'ng, Eugene
Affiliation
University of Wolverhampton, School of Computing and Information Technology, UK
Recommended Citation
GB/T 7714
Ch'ng, Eugene. An efficient segmentation algorithm for entity interaction[J]. Biodiversity Informatics, 2009, 6(1): 5-17.
APA Ch'ng, Eugene. (2009). An efficient segmentation algorithm for entity interaction. Biodiversity Informatics, 6(1), 5-17.
MLA Ch'ng, Eugene."An efficient segmentation algorithm for entity interaction". Biodiversity Informatics 6.1(2009): 5-17.
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