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Output details

11 - Computer Science and Informatics

University of South Wales

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Output 7 of 47 in the submission

Output title

An Ant Colony System algorithm for automatically schematizing transport network data sets

Type

E - Conference contribution

DOI

10.1109/CEC.2013.6557790

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

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

Cross-referral requested

Research group

1 - GIS

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract