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Similarity in metaheuristics: a gentle step towards a comparison methodology.
- Source :
-
Natural Computing . Jun2022, Vol. 21 Issue 2, p265-287. 23p. - Publication Year :
- 2022
-
Abstract
- Metaheuristics are found to be efficient in different applications where the use of exact algorithms becomes short-handed. In the last decade, many of these algorithms have been introduced and used in a wide range of applications. Nevertheless, most of those approaches share similar components leading to a concern related to their novelty or contribution. Thus, in this paper, a pool template is proposed and used to categorize algorithm components permitting to analyze them in a structured way. We exemplify its use by means of continuous optimization metaheuristics, and provide some measures and methodology to identify their similarities and novelties. Finally, a discussion at a component level is provided in order to point out possible design differences and commonalities. [ABSTRACT FROM AUTHOR]
- Subjects :
- *METAHEURISTIC algorithms
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 15677818
- Volume :
- 21
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Natural Computing
- Publication Type :
- Academic Journal
- Accession number :
- 157306680
- Full Text :
- https://doi.org/10.1007/s11047-020-09837-9