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Flow_Shop_Scheduling_Problem
- 混合蛙跳算法程序，采用1、若干次运行取最优 2、增加进化代数maxgen 3、加大种群规模popsize。三种方法来可有效克服随机初始化带来的局部极小问题-Shuffled frog leaping algorithm, using one, several runs to take the best two, increasing evolution algebra maxgen 3, to increase the population size popsize. Three way
randomfrog
- 随机蛙跳源代码，寻找最优变量，输出最小二乘回归-Random frog
interval-random-frog-version-1.0
- THIS A VARIABLE SELECTION METHOD WITH APPLIED IN PARTIAL LEAST SQUARE REGRRESSION-THIS IS A VARIABLE SELECTION METHOD WITH APPLIED IN PARTIAL LEAST SQUARE REGRRESSION
iRF
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIM
智能优化算法应用于近红外光谱波长选择的比较研究
- 近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an