利用自适应进化规划同时优化规则基的结构和参数。
Adaptive evolutionary programming is used to optimize the structure and parameters simultaneously.
提出一种新的二进制和复数混合编码的自适应进化规划方法。
A new adaptive evolutionary programming, in which population is encoded by binary and complex-valued, is presented.
算例表明，论文算法不仅保留了自适应进化规划算法的全局搜索能力，而且还具有高效的进化能力。
The global random searching ability of adaptive evolutionary programming algorithm and high evolutionary ability by the method in this paper is illustrated by the result of actual power systems.
对各部分改进的原因和优点进行了分析，给出了算法的主要步骤，并对自适应免疫进化规划的收敛性进行了说明。
The analysis of reasons and merits for improved part were proposed. The main steps of the algorithm were given and the convergence of adaptive immune evolutionary programming were formulated.
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.
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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