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niching相关的网络例句

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与 niching 相关的网络例句 [注:此内容来源于网络,仅供参考]

An adaptive niching scheme called coevolutionary shared niching has been proposed, implemented, analyzed and tested.

最后,提出了遗传算法的终止准则,并给出了随机数发生器的选取方法。

A new niching is formed by utilizing the algorithm which uses the hill valley function to judge whether the niching subswarms are produced and merged .

研究了基于微粒群算法的多峰函数寻优问题,提出一种基于峰谷函数的小生镜微粒群算法。

In respect of niching genetic algorithm,it adopts a new prime factor chromosome encoding method and introduces the maximal frequency item distribution list.

在小生境遗传算法方面,采用了一种新颖的素因子染色体编码方法并引入了最大频繁项分布表。

To determine the optimal thresholds in image segmentation,a new method based on niching particle swarm optimization is proposed in this paper.

为了得到分割图像的最佳阈值,提出了一种基于小生境粒子群算法的图像分割方法。

A niche entropy -based adaptive hybrid genetic algorithm is proposed,which introduces entropy into the niching method of sharing scheme.

将熵的概念引入共享机制小生境技术,提出了一种基于小生境熵的自适应混合遗传算法。

Therefore, genetic algorithm with niching based on sharing function or crowding is attempted to deal with the control and coupled structure synthesis.

本文尝试了基于共享函数机制和排挤机制的小生境技术用于耦合结构、控制一体化设计。

Combined finite element method and genetic algorithm with niching, the program used for the control-augmented structural synthesis is successfully designed.

将有限元与遗传算法相结合,成功编制了压电耦合结构、控制一体化优化设计程序。

Considering the premature convergence problem in the conventional differential evolution algorithm,a density clustering based niching Differential Evolution algorithm is proposed in this paper.

针对基本差分进化算法早熟收敛的缺陷,提出了一种基于密度聚类的小生境差分进化算法。

Based on this mechanism, a clonal selection algorithm for multi-modal function optimization has been proposed by formulating suitable clonal selection operators and introducing a new niching technology in this paper.

多目标优化问题的解不是唯一的,而是一个最优解集合。这类问题大多有较高维的搜索空间,传统的优化方法会导致很高的时间复杂性。

For multimodal function optimization problems, this paper analyzes several niching strategies, combines the crowding model with the clustering algorithm, and proposes a crowding clustering genetic algorithm.

对多模态函数优化问题,分析了各种小生境策略;将拥挤模型与聚类算法相结合,提出了一种拥挤聚类遗传算法。

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