Description: 微粒群算法，c语言编写，通过优化，可以自己添加测试函数-particle swarm algorithm, c language, through optimization, can add their own function testing Platform: |
Size: 2048 |
Author:雪肤 |
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Description: this is a matlab code for particle swarm optimization for naive bayes algorithm-this is a matlab code for particle swarm optimization for naive bayes algorithm Platform: |
Size: 62464 |
Author:sadaf_ayaz |
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Description: 利用粒子群优化算法寻找下列多元函数的最大值：f(x, y) = x*cos(2*pi*y) + y*sin
(2*pi*x) -2≤x≤2，-2≤y≤2
要求输出最优解、最优解对应的x和y值，以及粒子群优化算法迭代过程中的适应度函数进
化曲线。-Maximum use of particle swarm optimization algorithm to find the following
multivariate function: f (x, y) = x* cos (2* pi* y)+ y* sin (2* pi* x)
-2≤x≤2,-2 ≤y≤2
Required output optimal solution, x and y values corresponding to the optimal
solution, and the PSO iteration fitness function evolution curve. Platform: |
Size: 2048 |
Author:cxy |
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Description: 本文提出变量随机分解策略，增加关联变量分配到同组的概率，使得算法更好的保留变量间的关联性，并将合作协同进化框架融合到算法中，提出了基于大规模变量分解的多目标粒子群优化算法-In this paper, a stochastic variable decomposition strategy is proposed to increase the probability of assigning related variables to the same group, which makes the algorithm better preserve the correlation between variables. The cooperative co-evolution framework is integrated into the algorithm, and a multi-objective decomposition based on large- Particle swarm optimization algorithm Platform: |
Size: 1472512 |
Author:高雪树 |
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Description: 对于大型楼宇或矿井复杂的通风网络结构，建立数学模型，运用改进的粒子群优化算法，对通风网络进行精准通风，按需分风。(For the complex ventilation network structure of large buildings or mines, the mathematical model is established, and the improved particle swarm optimization algorithm is used to make the ventilation network well ventilated, and the air is divided according to the demand.) Platform: |
Size: 31744 |
Author:@行路人& |
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Description: 粒子群优化算起源于对鸟群、鱼群以及对某些社会行为的模拟，是一种基于群体智能的进化计算技术。而小生境技术则起源于遗传算法，这种方法能使基于群体的随机优化算法形成物种，从而使相应的优化算法具有发现多个最优解的能力。而多分类器集成技术则是通过多个分类器进行某种组合来决定最终的分类，以取得比单个分类器更好的性能。多分类器集成技术要求基元分类器不仅个体性能要好并且其差异度要大，这与小生境技术形成物种的能力具有很多内在的相似性。目前己经有研究者将小生境技术应用于多分类器集成，但由于传统的小生境技术仍然不完善，存在一些内在的陷，因而这些应用还不成熟和完善。
(Particle swarm optimization (partieleSwarmOptimization) originated in the birds, fish, and of a
Some simulation of social behavior, is a swarm intelligence-based evolutionary computing. The origin of the niche technology is In genetic algorithms, this method can make random optimization algorithm based on the formation of groups of species, so that the appropriate priority
Algorithm has the ability to find multiple optimal solutions. The integration technology of multiple classifiers is through multiple classifiers into
Some combination of the line to determine the final classification, in order to obtain better than a single classifier performance. Integration of multiple classifiers
Technical requirements for primitive classification is not only better individual performance and the difference to a large degree, which form a niche technology The ability of species has many inherent similarities. The researchers will now have a niche technology used in multisection
Class ens) Platform: |
Size: 5953536 |
Author:dreamer |
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Description: A novel method based on a combination of the Extended Kalman Filter (EKF) with Particle Swarm Optimization (PSO) to estimate the speed and rotor flux of an induction motor driveis presented. The proposed method will be performed in two steps. As a first step, the covariance matrices of state noise and measurement noise will be optimized in an off-line manner by the PSO algorithm. As a second step, the optimal values of the above covariance matrices are injected in our speed-rotor flux estimation loop (on-line).Computer simulations of the speed and rotor-flux estimation have been performed in order to investigate the effectiveness of the proposed method. Simulations and comparison with genetic algorithms (GAs) show that the results are very encouraging and achieve good performances. Platform: |
Size: 665750 |
Author:pudn0507@yahoo.fr |
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