The role of basic, modified and hybrid shuffled frog leaping algorithm on optimization problems: a review
Shuffled frog leaping algorithm (SFLA) is a meta-heuristic to handle different large-scale optimization problems. SFLA is a population-based algorithm that combines the advantages of memetic algorithm and particle swarm optimization. This paper compares previous researches on SFLA and its effectiven...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Springer Verlag
2015
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58990/ http://dx.doi.org/10.1007/s00500-014-1388-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |