Publication | Closed Access
A survey on bio-inspired algorithms for web service composition
75
Citations
32
References
2012
Year
Unknown Venue
Computational ScienceEngineeringInformation RetrievalData ScienceData MiningWeb Service EnhancementFirefly AlgorithmWeb Service ModelingBio-inspired AlgorithmsGenetic AlgorithmWeb CompositionComputer ScienceParticle Swarm OptimizationAnt Colony OptimizationSemantic WebWeb Service CompositionEvolutionary Programming
Web service composition has become a promising technology in a variety of e-science or e-business areas. There are a variety of models and methods to deal with this issue from different aspects. Bio-inspired algorithms are becoming main approaches and solutions. This paper reviews the current researches on web service composition based on bio-inspired algorithms, such as Ant Colony Optimization (ACO), Genetic Algorithm(GA), Evolutionary Algorithm (EA) and Particle Swarm Optimization(PSO). By analyzing and investigating different approaches, this paper gives an overview about the researches on bio-inspired algorithm in web service composition and point out future directions.
| Year | Citations | |
|---|---|---|
Page 1
Page 1