Immune-inspired method for selecting the optimal solution in web service composition
RED'09 Proceedings of the 2nd international conference on Resource discovery
International Journal of Business Intelligence and Data Mining
Insurance-Based Business Web Services Composition
International Journal of Organizational and Collective Intelligence
A Survey of Web Services Provision
International Journal of Systems and Service-Oriented Engineering
Optimising the semantic web service composition process using bio-inspired methods
International Journal of Bio-Inspired Computation
Efficient QoS management for QoS-aware web service composition
International Journal of Web and Grid Services
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One of the main benefits of web services is the dynamic composability, however how to achieve this is one of the current research challenges. Web service composition has been studied and, amongst other methods, the use of natural computing methods has been proposed previously. In this paper, we address the need for a fast response when computing the most suitable sequence of services. In particular, we propose a novel heuristic immune algorithm with an efficient encoding and mutation method. The algorithm involves two steps: an immune selection operation, which is maintaining antibody population diversity and a clonal selection. The use of a vaccine during the evolution provides heuristic information that accelerates the convergence. Our experimental results illustrate that the proposed heuristic immune algorithm is very effective in improving the convergence speed.