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A study on evolutionary computing based web service selection techniques
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DOI：10.1007/s10462-020-09872-z.png)
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Many service providers are offering their business functionality as web services. The problem of web service selection is a complex and time-consuming activity. Among other techniques, a significant work has been reported on the use of evolutionary computing based algorithms in determining optimal web service for a task. A rigorous review of the state-of-the-art for efficient selection of web services using evolutionary computing based algorithms published over the last decade is presented. The existing works on web service selection using various evolutionary approaches with a discussion on algorithmic variations, their effect on selection, quality of service parameters used, contributions, limitations and research gaps of these works are explored.
Keyword:
Web service
Web service selection
Evolutionary computing
Genetic algorithm
Ant colony optimization
Particle swarm optimization
Artificial bee colony
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