Output details
11 - Computer Science and Informatics
University of South Wales
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Output 0 of 0 in the submission
Output title
An Ant Colony System algorithm for automatically schematizing transport network data sets
Type
E - Conference contribution
Name of conference/published proceedings
Proceedings of IEEE Congress on Evolutionary Computing (CEC), Mexico, June 2013
Volume number
-
Issue number
-
First page of article
1892
ISSN of proceedings
-
Year of publication
2013
URL
-
Number of additional authors
1
Additional information
<29> This work was presented originally at Dagstuhl Seminar 10461. The IEEE CEC conference is a leading event in evolutionary computing (ranked 3rd in this category by Google Scholar, h5-index = 35) with the 2013 conference acceptance rate being 59%). The paper presents Ant Colony Optimization (ACO) as a better alternative to simulated annealing for solving map schematization problems. Its significance lies in the potential of the approach to be applied to a broader range of automated map generalization problems.
Interdisciplinary
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Cross-referral requested
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Research group
1 - GIS
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-