Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of change
- Submitting institution
-
Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21852185
- Type
- D - Journal article
- DOI
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10.1016/j.tcs.2014.10.028
- Title of journal
- Theoretical Computer Science
- Article number
- -
- First page
- 37
- Volume
- 561
- Issue
- A
- ISSN
- 0304-3975
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- 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
-
1
- Research group(s)
-
-
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Archiving version in leading theoretical computer science journal of the first theory paper in evolutionary dynamic optimisation, addressing populations and diversity mechanisms routinely used in practical applications and tackling challenging questions by leading researchers (e.g., Nguyen/Yang/Branke 2012). Influenced current research in dynamic and multimodal optimisation (e.g., U Sheffield, TU Denmark, Gdynia Maritime U Poland). Featured in survey article and tutorial on population diversity (Sudholt; Sudholt/Squillero, 2020) and tutorials on theory for non-theoreticians (Doerr 2016-2020). Substantial extension of the work published at GECCO (leading conference in the field, original conference version not returned).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -