文化算法分别从微观（种群空间）和宏观（信念空间）两个层面上模拟文化的双重进化继承过程。
This framework depicts cultural evolution as a process of dual inheritance from both a micro-evolutionary level(population space) and a macro-evolutionary level(belief space).
求解过程中，在基于自适应的文化算法中引入进化规划，有效利用进化过程中相关知识引导种群进化。
The knowledge extracted during evolution guide the evolution of population-space based on evolutionary programming. The design of belief-space for constrained optimization is described in detail.
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