Multicriteria adaptive differential evolution for global numerical optimization
- Submitting institution
-
De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11032
- Type
- D - Journal article
- DOI
-
10.3233/ICA-150481
- Title of journal
- Integrated Computer-Aided Engineering
- Article number
- -
- First page
- 103
- Volume
- 22
- Issue
- 2
- ISSN
- 1069-2509
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- 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
-
3
- Research group(s)
-
-
- Citation count
- 42
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This novel approach has shown to be extremely efficient and has been recently used by several researchers, e.g. see some of Prof Chengdu’s papers (Southwest Jiaotong University, China), to solve several computer-aided engineering problems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -