查询词典 swarm

The problem of multi-objective usually meet many conflict each other and can not use the objective of the same standard unit, then to employ membership function of fuzzy theory,at first each objective function to change fuzzy set and express with membership function, membership function include the maximum constraint, minimum constraint, the decrease function of monotonic property, to become optimal of the multi-objective function, but still to scanty of weighting value with regard to adjustment of objective function, thus this thesis proposes the method of combine orthogonal arrays and particle swarm optimization to solve the problem of multi-objective optimal power flow, each objective function separately add weighting value, to setting each weighting value of objective function in order to the result of anticipating.

多目标最佳化的问题通常会面临到许多互相冲突且不能用同ㄧ标准单位的目标，於是利用模糊理论中的归属函数，首先将各目标函数转换成模糊集合并以归属函数表示，归属函数包含了最大限制值、最小限制值、单调的递减函数所组成，将各目标函数利用归属函数表示，形成单一目标函数的最佳化，但是仍缺乏权重值对於目标函数的调整，於是本篇论文提出ㄧ种权重值设定与粒子群优演算法的方法去解决多目标最佳电力潮流的问题，将各目标函上分别加上权重值设定各目标函数的权重值，得到预期的效果。

The magmatic sequence includes, from older to younger, early-stage granite and monzonite , tonalite (with preserved amphibolite enclaves), trondhjemite, basic dyke swarm and quartz monzonite sills.

目前除斜长角闪岩包体和基性岩墙群尚未获得同位素年龄外，其他各期侵入体均已获得单颗粒锆石U-Pb测年数据。

A model of large-scale swarm based on individual local information and an individual motion control equation are proposed.

提出一种基于个体局部信息的智能群体模型。

Under considering the characteristics of the transformation in multidimensional space, the particle swarm optimization algorithm-based BP neural network is applied to diagnose faults.

在充分考虑基于多维变换的故障诊断方法的基础上，采用神经网络融合粒子群的方法进行非线性模拟电路故障诊断的系统方法。

This paper proposes a method, which use genetic algorithm and particle swarm optimization algorithm of evolutionary algorithm, to solve the problems of multiple sequence alignments.

本文提出使用遗传算法和粒子群优化算法来解决多序列比对问题。

The authors presented Mutational Dynamic Particle Swarm Optimization algorithm.

为此，提出了变异动态粒子群优化算法。

Experimental simulation results demonstrate that dynamic probabilistic particle swarm optimization with the varying neighborhood topology can solve complex optimization problems and escape from local optimal solutions efficiently.

实验结果表明，基于多簇结构的可变拓扑策略在求解复杂优化问题时优势明显，可以有效地避免算法陷入局部最优，在保证收敛速度的同时增强了算法的全局搜索能力。

Based on that, measures of image clustering quality are developed in view of the definition of clustering analysis and the bi-factors of intra and inter class in data mining. Then the particle swarm optimizer is introduced into nephogram classification area.

在此基础上，本文根据数据挖掘中对聚类分析的定义，充分考虑到类内和类间离散度的双重因素，建立了衡量图像聚类效果的质量评价参数。

An active olfaction implementation scheme based on evolutionary gradient search using a swarm of robots is put forward.

提出了基于进化梯度搜索的多机器人主动嗅觉的一种实现策略。

The proposed algorithm is a particle swarm optimization based two phases process, one is mapping core onto NoC, and another is the allocation of the routing path. The proposed algorithm uses a novel representation for PSO particle which minimizes the NoC communication energy consumption and keeps the NoC link load balance.

PLBMR是一个两步PSO优化算法，在建立NoC的通信功耗和链路负载的数学表示的基础上，采用一种有效IP核映射与路由分配的PSO粒子编码方法，使得NoC的通信能量消耗最小以及保证NoC的通信链路负载平衡。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。