A new hybrid cuckoo search and firefly optimization.
In: Monte Carlo Methods & Applications, Jg. 24 (2018-03-01), Heft 1, S. 71-77
academicJournal
Zugriff:
In this paper, we present a new hybrid algorithm which is a combination of a hybrid Cuckoo search algorithm and Firefly optimization. We focus in this research on a hybrid methodcombining two heuristic optimization techniques, Cuckoo Search (CS) and Firefly Algorithm(FA) for the global optimization. Denoted as CS-FA. The hybrid CS-FA techniqueincorporates concepts from CS and FA and creates individuals in a new generation not only by random walk as found in CS but also by mechanisms of FA. To analyze the benefits of hybridization, we have comparatively evaluated the classical Cuckoo Search and Firefly Algorithms versus the proposed hybridized algorithms (CS-FA). [ABSTRACT FROM AUTHOR]
Copyright of Monte Carlo Methods & Applications is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Titel: |
A new hybrid cuckoo search and firefly optimization.
|
---|---|
Autor/in / Beteiligte Person: | Elkhechafi, Mariam ; Hachimi, Hanaa ; Elkettani, Youssfi |
Zeitschrift: | Monte Carlo Methods & Applications, Jg. 24 (2018-03-01), Heft 1, S. 71-77 |
Veröffentlichung: | 2018 |
Medientyp: | academicJournal |
ISSN: | 0929-9629 (print) |
DOI: | 10.1515/mcma-2018-0003 |
Schlagwort: |
|
Sonstiges: |
|