搜索资源列表
BAS天牛须搜索优化算法
- 这是新提出的天牛须算法和matlab的实现代码,用于优化问题十分有效(This is the newly proposed algorithm of the matlab algorithm, which is very effective for optimization.)
BAS_optimization
- 天牛须算法的简单编写,需要自己替换适应度函数(The algorithm is simple and needs to replace its fitness function.)
BAS_BP论文及代码
- 天牛须混沌算法,BP论文及代码。需要下载(Tian Niu Chaotic Algorithm)
BSO_code
- matlab 天牛群算法,对原始的天牛须算法进行了,将其与例子群算法结合,结果表明优于粒子群算法和天牛须算法。(Matlab longicorn swarm algorithm, the original longicorn whisker algorithm is carried out, and combined with example swarm algorithm, the results show that it is be
天牛须
- 天牛须算法,一种生物智能算法,于2017年提出,具有参数少,收敛速度快的优点,算法易于实现。(Longhorn whisker algorithm, a bio-intelligent algorithm, was proposed in 2017. It has the advantages of fewer parameters and faster convergence speed. The algorithm is easy
BAS在3D路径规划中的应用
- 天牛须BAS在3D路径规划中的应用,天牛须BAS是新型算法,求解速度快,算法代码简单。(The application of Longhorn whisker BAS in 3D path planning, Longhorn whisker BAS is a new algorithm with fast solving speed and simple algorithm code.)
Bas优化elman_new_new
- 天牛须算法优化elman神经网络代码,有需要的可自行进行下载,(The algorithm optimizes Elman neural network code, which can be downloaded if necessary.)
BAS_BP论文及代码
- 天牛须搜索算法优化bp神经网络的代码,天牛须是一个新提出的算法,有助于研究者研究学习(The search algorithm of Taurus whisker optimizes the code of BP neural network. Taurus whisker is a new algorithm, which is helpful for researchers to study)
基于天牛须搜索算法优化BP神经网络
- 天牛须优化算法及其对BP神经网络的优化。(The optimization algorithm and its application to BP neural network)
BAS
- 类似于遗传算法、粒子群算法、模拟退火等智能优化算法,天牛须搜索不需要知道函数的具体形式,不需要梯度信息,就可以实现高效寻优。(Similar to genetic algorithm, particle swarm optimization algorithm, simulated annealing and other intelligent optimization algorithms, Taurus search can ach
bas代码
- 基于天牛须算法的例子,展现天牛须算法的性能,对目标函数优化,简单代码即可实现。(Based on the example of Taurus whisker algorithm, the performance of Taurus whisker algorithm is demonstrated, the objective function is optimized, and the simple code can be reali
BSO-master
- 天牛须仿生模糊寻优算法,寻找最优解。可作为股票分析等(BSO is a kind of bionic arithmetic which can calculate like fuzzy)
BAS代码
- 天牛须搜索( beetle antennae search,BAS) 算法是2017 年提出的一种基于天牛觅食原理的适用于多目标函数优化的新技术,其生物原理为: 当天牛觅食时,其并不知道食物在哪里,而是根据食物气味的强弱来觅食。天牛有两只长触角,如果左边触角收到的气味强度比右边大,那下一步天牛就会向左边飞,反之则向右飞。依据这一简单原理天牛就可以有效找到食物。与遗传算法、粒子群算法等类似,BAS 不需要知道函数的具体形式以及梯度信息,就
BAS_BP
- 利用天牛须算法改进了BP神经网络,提高了预测精度(Optimize the bp Shenjiang network)
BAS
- 利用天牛须算法寻优,程序中用一个函数进行测试,绘制出迭代次数和搜索路径的两个图(In the program, a function is used to test, and two graphs of iteration times and search path are drawn.)