Abstract
Internet Web services are used to build electronic business applications so they can be interconnected and provide flexibility. When a user needs more than one service at a time, a composition of the available services is carried out in order to fulfil the user’s service request. When a wide variety of internet services are available, we demand a proper procedure of composing the services based on the aspects affecting service quality. Now a days for a single web service, there are multiple services with same functionalities are available. We made an effort to put together the web services in our recommended work with the highest overall QoS values based on the requests made by the user’s. We used particle swarm optimization (PSO) and ant colony optimization (ACO) techniques to address the service composition problem using quality of service (QoS) parameters.
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Subbulakshmi, S., Seethalakshmi, M., Unni, D. (2023). Optimized Web Service Composition Using Hybrid Evolutionary Algorithms. In: Shakya, S., Balas, V.E., Haoxiang, W. (eds) Proceedings of Third International Conference on Sustainable Expert Systems . Lecture Notes in Networks and Systems, vol 587. Springer, Singapore. https://doi.org/10.1007/978-981-19-7874-6_8
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