Zuomin Dong

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For design problems involving computation-intensive analysis or simulation processes, approximation models are usually introduced to reduce computation time. Most approximation-based optimization methods make step-by-step improvements to the approximation model by adjusting the limits of the design variables. In this work, a new approximation-based(More)
—Contraflow operation is frequently used for reducing traffic congestion near tunnels and bridges where traffic demands from the opposite directions vary periodically. In this work, a generic real-time optimal contraflow control method has been introduced. The introduced method integrates two important functional components: 1) an intelligent system with(More)
As an innovative and cost-effective method for carrying out multiple-axis CNC machining, 3 1 2 1 2-axis CNC machining technique adds an automatic indexing/rotary table with two additional discrete rotations to a regular 3-axis CNC machine, to improve its ability and efficiency for machining complex sculptured parts. In this work, a new tool path generation(More)
As a very well-known non-gradient global optimization method, DIviding RECTangles (DIRECT) algorithm has been proven to be an effective and efficient search method for many global optimization problems. However, computation of the algorithm could be costly and slow in solving problems involving computation intensive, Expensive Black Box (EBB) function due(More)
For design optimization with high-dimensional expensive problems, an effective and efficient optimization methodology is desired. This work proposes a new metamodel-based approach for the shape optimization of a typical heavy-duty gas turbine compressor airfoil. The proposed methodology is called Approximated Promising Region Identifier (APRI), which is a(More)
Despite the fact that many global optimization algorithms are available today for various applications, the need of more efficient, effective and robust search methods for handling complex and computational intensive engineering problems still presents a challenge. The widely used evolutionary algorithms for optimizing a variety of real life applications(More)
Among HEV configurations, the electronic-continuously variable transmission (e-CVT) architecture can optimally blend power from an engine and electric motor/generators. Design of an e-CVT powertrain is a challenging and time-consuming task due to the system complexity and the multidisciplinary nature of the design problem. In this work, an approach to(More)