文件名称:MATLAB-30-Cases

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。《MATLAB智能算法30个案例分析》采用案例形式,以智能算法为主线,讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现。对广大科研人员有很高的参考价值。-. MATLAB intelligent algorithm 30 case studies, the use of case the main line, the form of an intelligent algorithm to explain the genetic algorithm, immune algorithm and annealing algorithm, particle swarm optimization, fish swarm algorithm, ant colony algorithm and neural network algorithm most commonly used intelligence algorithm in MATLAB. High reference value for the majority of researchers.
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下载文件列表

chapter1\example2.m

........\example1.m

.......2\chapter2\案例1\Code.m

........\........\.....\Cross.m

........\........\.....\fun.m

........\........\.....\Genetic.asv

........\........\.....\Genetic.m

........\........\.....\Mutation.m

........\........\.....\Select.m

........\........\.....\test.m

........\........\.....非线性\Code.m

........\........\...........\Cross.m

........\........\...........\fun.m

........\........\...........\main.m

........\........\...........\Mutation.m

........\........\...........\nonlinear.m

........\........\...........\Select.m

........\........\...........\test.m

........\........\....2\Code.m

........\........\.....\Cross.m

........\........\.....\fun.m

........\........\.....\Genetic.m

........\........\.....\Mutation.m

........\........\.....\Select.m

........\........\.....\test.m

........\........\.....非线性\Code.m

........\........\...........\Cross.m

........\........\...........\fun.m

........\........\...........\Genetic.asv

........\........\...........\Genetic.m

........\........\...........\Mutation.m

........\........\...........\nonlinear.m

........\........\...........\Select.m

........\........\...........\test.m

........\........\....3\Code.m

........\........\.....\Cross.m

........\........\.....\fun.m

........\........\.....\Genetic.m

........\........\.....\Mutation.m

........\........\.....\Select.m

........\........\.....\test.m

........\........\.....非线性\Code.m

........\........\...........\Cross.m

........\........\...........\fun.m

........\........\...........\Genetic.m

........\........\...........\Mutation.m

........\........\...........\nonlinear.m

........\........\...........\Select.m

........\........\...........\test.m

.......3\Objfun.m

........\BPfun.m

........\callbackfun.m

........\GABPMain.m

........\data.mat

.......4\InitPop.m

........\Mutate.m

........\OutputPath.m

........\PathLength.m

........\Recombin.m

........\Reins.m

........\Reverse.m

........\Select.m

........\Sus.m

........\Distanse.m

........\DrawPath.m

........\dsxy2figxy.m

........\Fitness.m

........\GA_TSP.m

........\CityPosition1.mat

........\CityPosition2.mat

........\CityPosition3.mat

........\test.m

.......5\源程序\Active_Suspension_LQR.mdl

........\......\GA_LQR.m

........\......\GA_LQR_run.m

.......6\源程序\GA_demo.m

........\......\GA_demo_run.m

.......7\immigrant.m

........\MPGA.m

........\SGA.m

........\EliteInduvidual.m

........\danyuan.m

........\ObjectFunction.m

.......8\Qgate.m

........\QuantumMain.m

........\bin2decFun.m

........\collapse.m

........\FitnessFunction.m

........\InitPop.m

........\Objfunction.m

.......9\源程序\my_first_multi.m

........\......\my_first_multi_run.m

.......10\chapter10\data.mat

.........\.........\main.m

........1\chapter11\aberranceJm.m

.........\.........\across.m

.........\.........\cal.m

.........\.........\calP.m

.........\.........\caltime.m

.........\.........\Find.m

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