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Stochastic ranking is a promising constraint handling method for constrained evolutionary optimization problems. However, the method has some limitations when comparing two given individuals during the evolution. In order to find the optimal feasible solution, the promising infeasible individual is supposed to have an opportunity to survive if at least one of two compared individuals is infeasible...
In a market-oriented service computing environment, both back-end SLA (service level agreement) offers and front-end SLA requirements should be considered when performing service composition. In this paper, we address the optimization problem of SLA-constrained service composition and focus on the following issues: the difficulties related to preference definition and to weight assignment, the limitation...
In this paper, we address the optimization problem of SLA-constrained service composition. Focusing on the main drawbacks of traditional approaches surveyed:1) the difficulties in preference definition and weight assignment, 2) the limitation of linear utility function for identifying preferred skyline solutions, and 3) the poor efficiency and scalability of algorithms, we present a systematic approach...
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