DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm.
- Submitting institution
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Robert Gordon University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- Zavoianu_1
- Type
- D - Journal article
- DOI
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10.1007/s00500-014-1308-7
- Title of journal
- Soft Computing
- Article number
- -
- First page
- 3551
- Volume
- 19
- Issue
- 12
- ISSN
- 1433-7479
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- URL
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- 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
-
-
- Research group(s)
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- Citation count
- 34
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The algorithm was implemented as the default multi-objective solver in the SyMSpace platform (https://www.lcm.at/en/project/symspace-the-system-model-space/) developed by the Linz Center of Mechatronics (LCM, Austria - https://www.lcm.at/en/). After deployment, the solver was used on 20+ optimal mechatronic engineering projects proposed by industrial partners of the LCM – e.g., Bosh Rexroth AG, ebm-papst GbmH, Siemens AG, ZIEHL-ABEGG SE. There was a follow-on grant: 3-year RGU-LCM cooperation grant on optimization and modelling (60k GBP - https://rgu-repository.worktribe.com/project/195517/lcm-cooperation-under-the-comet-k2-center-for-symbiotic-mechatronics) . The algorithm is openly available at: https://github.com/czavoianu/DECMO_Algs_JMetal3.
Follow-on development: performance analysis on MO-ICOPs with RGU team (https://doi.org/10.1007/978-3-030-58112-1_20). For SyMSpace/LCM details, please contact Dr. Gerd Bramerdorfer (gerd.bramerdorfer@jku.at).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -