This paper describes the innovative use of a genetic algorithm to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a `best...
A well-designed fitness function is essential to the effectiveness and efficiency of evolutionary testing. Fitness function design has been researched extensively. For fitness ...
Yan Wang, Zhiwen Bai, Miao Zhang, Wen Du, Ying Qin...
The discussions about learning management systems and reusable learning objects primarily focus on technical standardization issues. Standards such as SCORM or LTSC-LOM will yield...
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
We present C1 methods for either interpolating data or for fitting scattered data associated with a smooth function on a two-dimensional smooth manifold Ω embedded into R3 . The ...