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To deal with real-life black-box expensive multiobjective optimization problems, we investigated the application of an optimization framework expanded from MOEA/D-EGO. As MOEA/D-EGO, Gaussian process modeling techniques are used to subtittute the evaluation of the problem itself. Apart from the expected improvement (EI) in-fill rule in the original MOEA/D-EGO, we define a process that adaptively selects...
Semantically annotated process model (SPM) is a process model with semantic annotations, which include the precondition and effect, labeled for its activities based on the domain ontology. Such semantic annotations can increase the model's understanding and reusability, and facilitate its implement as well as compliance analysis. However, SPM analysis is challenging, since its correctness is beyond...
Consider the fundamental generalized predictive control is an explicit algorithm, which needs solving the Diophantine equation and the inverse of matrices, the on-line computational quantity is big and the real-time property is poor. This paper puts forward a generalized predictive PID controller to the second-order time delay system commonly used in industry, which makes the control process more...
This paper presents an efficient method for water rendering in real-time by taking advantage of the parallelism and programmability of a GPU (graphic processing unit). We propose a dynamical radial grid to tessellate the water surface and perform sampling and displacement mapping on the vertex shader. Some special effect is simulated to improve the photorealism of our real-time water rendering. The...
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