Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems.
- Submitting institution
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Robert Gordon University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- Zavoianu_2
- Type
- D - Journal article
- DOI
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10.1016/j.knosys.2015.05.029
- Title of journal
- Knowledge-Based Systems
- Article number
- -
- First page
- 47
- Volume
- 87
- Issue
- -
- ISSN
- 0950-7051
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2015
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
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- Citation count
- 14
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The proposed comparative analysis between synchronous and asynchronous evolution for multi-objective solvers has been adopted and used in exploring algorithmic refinements (e.g., semi-asynchronicity) by Professor T. Harada (Tokyo Metropolitan University, Japan - https://doi.org/10.1007/s00500-019-04071-7; https://doi.org/10.1145/3205455.3205468; https://doi.org/10.1007/s11047-020-09806-2). Reported findings were acknowledged and validated in complementary work on single-objective asynchronicity by Dr. E.O. Scott and Professor K.A. De Jong (George Mason University, USA - https://doi.org/10.1145/2908812.2908934).
Based on our analysis, real-life case study, and subsequent testing, steady-state asynchronous is the default parallelization choice for all solvers in the SyMSpace platform (https://www.lcm.at/en/project/symspace-the-system-model-space) developed by the Linz Center of Mechatronics, Austria (https://www.lcm.at/en/).
- Author contribution statement
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- Non-English
- No
- English abstract
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