Intelligent algorithm, including genetic algorithm, simulated annealing algorithm, BP neural network optimization, immune algorithm, particle swarm algorithm, ant colony algorithm and other intelligent algorithms and so on. You can run them with your matlab platform.

chapter30极限学习机的回归拟合及分类.rar
chapter1遗传算法工具箱.rar
chapter2基于遗传算法和非线性规划的函数寻优算法 .rar
chapter3基于遗传算法的BP神经网络优化算法 .rar
chapter4sa_tsp.rar
chapter5基于遗传算法的LQR控制器优化设计.rar
chapter6遗传算法工具箱详解及应用 .rar
chapter7多种群遗传算法的函数优化算法.rar
chapter8基于量子遗传算法的函数寻优算法 .rar
chapter9基于遗传算法的多目标优化算法.rar
chapter10基于粒子群算法的多目标搜索算法.rar
chapter11基于多层编码遗传算法的车间调度算法.rar
chapter12免疫优化算法在物流配送中心选址中的应用 .rar
chapter13粒子群优化算法的寻优算法.rar
chapter14基于粒子群算法的PID控制器优化设计.rar
chapter15基于混合粒子群算法的TSP搜索算法 .rar
chapter16 基于动态粒子群算法的动态环境寻优算法.rar
chapter17基于PSO工具箱的函数优化算法.rar
chapter18鱼群算法函数寻优.rar
chapter19基于模拟退火算法的TSP算法.rar
chapter20基于遗传模拟退火算法的聚类算法.rar
chapter21模拟退火算法工具箱及应用.rar
chapter22蚁群算法的优化计算——旅行商问题(TSP)优化 .rar
chapter23基于蚁群算法的二维路径规划算法.rar
chapter24 基于蚁群算法的三维路径规划算法.rar
chapter25有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测.rar
chapter26.rar
chapter27无导师学习神经网络的分类——矿井突水水源判别.rar
chapter28支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断 .rar
chapter29支持向量机的回归拟合——混凝土抗压强度预测.rar

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