It depends on the criteria and the constraints, here is the details of the project: The selection of the web service is an essential step in the support of dynamic compositions, in fact, the presence of a set of services that provide the same functionality (inputs/outputs), with different criteria, we can define it as an optimization problem which requires an exponential execution time which leads us to adopt an optimization strategy in order to select the best ones. In this project, we adopt the advantages of metaheuristics such as genetic algorithms to deal with this problem.I don't understand. Why would you in need to use a web service when the datasets that you linked to already has the data from the web services? It's it just a matter of using the data from those datasets to simulate a web service call without having to actually make a web service call?
Please explain your project in more detail. What are you trying to optimize for using a genetic algorithm?
Thank you, your questions enlightened me on what I should base on, currently I do not have the answer to your questions but I was tasked with studying the dataset and their functionality, which I didn't find in the current dataset or other datasets.That still doesn't explain what you are trying to optimize. What at are your constraints? What are your criteria? How do you know if a particular web service or combination of web services is doing well or not?