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.
历史、个性和文化都被抛在一边，只留下算法和一个“人人为己”的假设。
History, personalities and culture are all swept aside, leaving only algorithms and an assumption that everyone is out for themselves.
这种历算法与中原文化交流者有密切关系。
This calendar algorithms are closely related to cultural exchanges with the Central Plains.
本文提出一种精确的多目标优化算法，即改进的双群体差分多层文化粒子群融合算法。
The paper put forward a kind of accurate multi-objective optimization-double populations differential multi-storey culture particle swarm fusion arithmetic after improving.
本文提出一种精确的多目标优化算法，即改进的双群体差分多层文化粒子群融合算法。
The paper put forward a kind of accurate multi-objective optimization-double populations differential multi-storey culture particle swarm fusion arithmetic after improving.
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