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Shuffled frog leaping algorithm

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This is an old revision of this page, as edited by Ruud Koot (talk | contribs) at 00:32, 21 July 2016 (removed Category:Mathematical optimization; added Category:Nature-inspired metaheuristics using HotCat). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

The shuffled frog leaping algorithm (SFLA) is an optimization algorithm used in artificial intelligence (AI). It is like a genetic algorithm. [1]

References

  1. ^ Muzaffar Eusuff , Kevin Lansey & Fayzul Pasha (2006) Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization, Engineering Optimization, 38:2, 129–154, DOI: 10.1080/03052150500384759


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