Cloud computing is heralded to be one of the most significant information technology developments in recent years. There is widespread agreement that the adoption of cloud resources and capabilities is poised for strong growth into the future. Nevertheless, there is paucity of research concerning the perceived risks that affect the adoption intentions of prospective organisational adopters. In ...

In many applications of constrained continuous black box optimization, the evaluation of fitness and feasibility is expensive. Hence, the objective of reducing the constraint function calls remains a challenging research topic. In the past, various surrogate models have been proposed to solve this issue. In this paper, a local surrogate model of feasibility for a self-adaptive evolution strateg...

In water resources optimization problems, the objective function usually presumes to first run a simulation model and then evaluate its outputs. However, long simulation times may pose significant barriers to the procedure. Often, to obtain a solution within a reasonable time, the user has to substantially restrict the allowable number of function evaluations, thus terminating the search much e...

The Reynolds-averaged Navier-Stokes (RANS) equations for steady-state assessment of incompressible turbulent flows remain the workhorse practical computational fluid dynamics (CFD) applications. Consequently, improvements in speed or accuracy have potential to affect a diverse range We introduce machine learning framework surrogate modeling eddy viscosities RANS simulations, given initial condi...

The exploitation of nested inequalities and surrogate constraints as originally proposed in Glover [Glover, F., 1965. A multiphase-dual algorithm for the zero–one integer programming problem. Operations Research 13, 879–919; Glover, F., 1971. Flows in arborescences. Management Science 17, 568–586] has been specialized to multidimensional knapsack problems in Osorio et al. [Osorio, M.A., Glover,...

IV. Discussion of the Guidelines .............................................................................................10 1. Debt Management Objectives and Coordination...................................................10 2. Transparency and Accountability ..........................................................................14 3. Institutional Framework.................................