Kriging-Based Space Exploration Global Optimization Method in Aerodynamic Design

Sampling Design Optimization for Space-Time Kriging

A Kriging-based Unconstrained Global Optimization Algorithm

Efficient Global Optimization (EGO) algorithm with Kriging model is stable and effective for an expensive black-box function. However, How to get a more global optimal point on the basis of surrogates has been concerned in simulation-based design optimization. In order to better solve a black-box unconstrained optimization problem, this paper introduces a new EGO method named improved generaliz...

Optimization-Based Design Space Exploration of Analog Circuits

In this paper, we discuss an optimization-based approach for design space exploration of analog circuits, i.e., how some design parameters affect the circuit performance and cost. By this exploration the designer is guided to make judicious trade-offs among the remaining design parameters. For the design space exploration, which is expensive in terms of computation time, we use an optimization-...

Parallel Global Aircraft Configuration Design Space Exploration

– The preliminary design space exploration for large, interdisciplinary engineering problems is often a difficult and time-consuming task. General techniques are needed that efficiently and methodically search the design space. This work focuses on the use of parallel load balancing techniques integrated with a global optimizer to reduce the computational time of the design space exploration. T...

Metamodeling Method Using Dynamic Kriging for Design Optimization

Metamodeling has been widely used for design optimization by building surrogate models for computationally intensive engineering application problems. Among all the metamodeling methods, the kriging method has gained significant interest for its accuracy.However, in traditional krigingmethods, themean structure is constructed using a fixed set of polynomial basis functions, and the optimization...