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...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer Verlag
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58990/ http://dx.doi.org/10.1007/s00500-014-1388-4 |
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| Institution: | Universiti Teknologi Malaysia |
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