提出了一种训练模糊神经网络的加速进化规划算法。
In this paper, a kind of accelerated evolutionary programming is presented to training the fuzzy neural networks.
在分析导致进化规划算法早熟原因的基础上，提出了一种基于遗忘策略的双群进化规划算法。
Based on the analysis of the premature convergence of traditional evolutionary programming, a forgetting strategy based bi-subgroup evolutionary programming (FSBEP) algorithm is proposed.
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.
该文在分析了导致进化规划算法早熟原因的基础上，提出了一种基于混沌变异的多群进化规划算法。
In this paper, based on the analysis of traditional evolutionary programming premature convergence, a novel bi-group evolutionary programming based on chaotic mutation (CMBEP) algorithm is proposed.
结果表明对于数据量庞大的非线性模型的优化求解，改进后的进化规划算法具有更强和更广泛的适用性。
The result shows that improved evolutionary programming is much more appropriate of none line model with a great volume of data.
针对此问题，将退火概率与适应度结合的选择方式引入进化规划算法的选择操作，形成了退火进化规划算法（AEP）。
To this problem, annealing probability formation was introduced into the selection of EP and a new algorithm:annealing EP(AEP)was got.
针对多飞行器的协调航迹规划展开研究，提出了一种基于协同进化的多飞行器协调航迹规划算法。
The cooperative route planning problem of multiple air vehicles is studied with the proposal of a novel coevolutionary coordinative route planner.
针对多飞行器的协调航迹规划展开研究，提出了一种基于协同进化的多飞行器协调航迹规划算法。
The cooperative route planning problem of multiple air vehicles is studied with the proposal of a novel coevolutionary coordinative route planner.
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