Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm
- Submitting institution
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Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1141055
- Type
- E - Conference contribution
- DOI
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10.1145/3205455.3205481
- Title of conference / published proceedings
- GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference
- First page
- 101
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper was the first to show that quality-diversity methods could be used within a distributed swarm. It was nominated for a best-paper award at ACM GECCO 2018: a reviewer commented “The idea of mixing diversity with mEDEA was in several heads for sure, but this paper not only does it, but also does it brilliantly”.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
