基于共过化决策的沉浸式支持环境系统研究

The main research issue of this project is to investigate the co-evolution mechanism of complex systems which focus on the decision problems. The decision behavior can be actually.viewed as the results driven by the co-evolution between problem space and solution space.Thereby, the integral framework of co-evolutionary optimization is proposed, along with a kind of co-evolutionary optimization algorithm for combinatorial optimization problems and a kind of ant.algorithm via simultaneous co-evolution. Based on the overall analysis and systematic survey on.artificial immune systems, the research framework of engineering immune computation for design automation is given by abstraction. Further, an artificial immune algorithm based on immune memory is proposed in view of the complex optimization problems. The technology for virtual environment oriented scene management, together with the separate strategy of virtual scene management and rendering based on the global information model, is investigated in detail. Then InteVR 1.0, a prototype of desktop distributed virtual reality system is developed with Open Inventor, which has been successfully applied to the production running of manufacturing systems.SW2N, the animated demo system for the middle-line pondage project of transferring south water to north has been completed on the platform of AutoCAD14, which performs effectively in real applications. The above work merges the techniques of virtual reality with decision complexity.research so as to promote the abilities of decision support from the levels of both cognition and perception. Thereby, the research work takes not only scientific meanings and theoretical values,but also has broad prospects of industrial applications and practical values..

探讨面向复杂系统决策的综合集成原理及问题求解策略，揭示问题空间、模型空间、解答空间的共进化决策机制，提出柔性结构建模方法，研究面向决策支持的沉浸式环境建造技术，开发实现一个基于共进化决策的沉浸式支持环境的原型系统。其成果可为创建人机一体的决策机制和集成环境提供原理方法与技术支撑，促进决策复杂性研究，具有理论和实际意义。