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Firefly Algorithm/Evidence
Method evidence record

Firefly Algorithm

The Firefly Algorithm (FA), introduced by Xin-She Yang in 2008 and formally published in 2010, is a nature-inspired swarm metaheuristic that models the bioluminescent attraction behaviour of fireflies. Each candidate solution is a firefly whose brightness represents its objective-function value; dimmer fireflies move toward brighter ones with an attraction force that decays with distance, driving the swarm toward optima without gradient information.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Firefly Algorithm (FA)
Taxonomic method record · process-pipeline / optimization
  • Yang, X.S. (2010). Firefly Algorithm, Stochastic Test Functions and Design Optimisation. International Journal of Bio-Inspired Computation, 2(2), 78-84. · DOI 10.1504/IJBIC.2010.032124
  • Yang, X.S. (2014). Nature-Inspired Optimization Algorithms. Elsevier. · ISBN 978-0-12-416743-8
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyCuckoo Searchmachine-suggested · Relational suggestion, not evidence.Same method familyDifferential Evolutionmachine-suggested · Relational suggestion, not evidence.Same method familyGenetic Algorithmmachine-suggested · Relational suggestion, not evidence.Same method familyGrey Wolf Optimizermachine-suggested · Relational suggestion, not evidence.Same method familyParticle Swarm Optimizationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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