Zhang Kejun

Music emotional design by evolutionary algorithms

Music emotional design has been studied for many years, and there has been a growing interest in analyzing and design emotion in music by the evolutionary algorithms. Therefore, its necessary to organize and categorize representative literature. The study presents an exhaustive survey of studies on one or more aspects of music emotional design by the evolutionary algorithms. In doing so, a classification of the literature based on the goal of what the studies want to achieve is developed. Such a classification not only highlights the significant results and unifies existing work, but also provides a foundation for future research in Music Emotional Design by the evolutionary algorithms.

An integration technology of one domain and cross domain evolution of industrial design knowledge

In the paper, the expressive forms and the one domain and cross domain evolution technology of industrial design knowledge are presented. The main works are about how to compile the predicates and terms of first order logic (FOL) as the expressive forms, establish the mappings between domains, knowledge parameters ( the predicates and terms) and the knowledge, the correlations between the two knowledge domains in order to navigate cross-domain evolution of the knowledge; recombine gene of coded knowledge in FOL to fulfill one-domain- evolution; integrate the above mentioned technologies. The core principles and the data-flow-chart for an application system fulfilling the works are given.