We propose a global optimization framework for 3D shape reconstruction from sparse noisy 3D measurements frequently encountered in range scanning, sparse featurebased stereo, and ...
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Low energy and small switch area usage are two of the important design objectives in FPGA global routing architecture design. This paper presents an improved MCF model based CAD ï...
Yuanfang Hu, Yi Zhu, Michael Bedford Taylor, Chung...
This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...