文件名称:matlab_fwa
介绍说明－－下载内容均来自于网络，请自行研究使用
自从烟花算法的开创性论文由谭营教授等人于2010年发表之后[1] ，业界对烟花算法的研究逐步深入和铺开。通过对原始烟花算法的细致、深入的分析，针对原始烟花算法（FWA）的不足，提出了大量的改进方法，并据此发展了各种改进算法，以及与其他方法的混合方法，大大提高的原始烟花算法的性能，同时研究了烟花算法在求解不同类型优化问题的能力，还有大量的研究人员进行了烟花算法的应用研究，给出了一些典型的成功应用案例。(Since the groundbreaking paper of fireworks algorithm was published by Professor Tan Tan et al in 2010, [1]'s research on fireworks algorithm has been gradually deepened and spread out. Based on the original fireworks algorithm detailed and in-depth analysis, for the original fireworks algorithm (FWA) problems, put forward the improved method a lot of, and developed various improved algorithms, the hybrid method and other methods, the performance of the original algorithm can greatly improve the fireworks, also studied the algorithm in the ability to solve different types of fireworks the optimization problem, there are a large number of researchers studied fireworks algorithm, gives some typical cases of successful application.)
相关搜索： 烟花算法
(系统自动生成,下载前可以参看下载内容)
下载文件列表
matlab_fwa\FWA\benchmark14.m
matlab_fwa\FWA\functionlib1.m
matlab_fwa\FWA\functionlib10.m
matlab_fwa\FWA\functionlib11.m
matlab_fwa\FWA\functionlib12.m
matlab_fwa\FWA\functionlib2.m
matlab_fwa\FWA\functionlib3.m
matlab_fwa\FWA\functionlib4.m
matlab_fwa\FWA\functionlib5.m
matlab_fwa\FWA\functionlib6.m
matlab_fwa\FWA\functionlib7.m
matlab_fwa\FWA\functionlib8.m
matlab_fwa\FWA\functionlib9.m
matlab_fwa\FWA\fun_ackley.m
matlab_fwa\FWA\fun_griewank.m
matlab_fwa\FWA\fun_michalewics.m
matlab_fwa\FWA\fun_perm.m
matlab_fwa\FWA\fun_rastrigin.m
matlab_fwa\FWA\fun_rosenbrock.m
matlab_fwa\FWA\fun_schafferf6.m
matlab_fwa\FWA\fun_schwefel.m
matlab_fwa\FWA\fun_sphere.m
matlab_fwa\FWA\MAIN0107.m
matlab_fwa\FWA\MAIN0810.m
matlab_fwa\FWA\MAIN1112.m
matlab_fwa\FWA\MainRun.m
matlab_fwa\FWA\mathConfidenceComputing.m
matlab_fwa\FWA\mathNorm.m
matlab_fwa\FWA\opt_FWA.m
matlab_fwa\FWA\Result_Statistical.m
matlab_fwa\FWA\scope_cal.m
matlab_fwa\FWA\seedGaussMutation.m
matlab_fwa\FWA\selectNextIterationOnEntropy.m
matlab_fwa\FWA\sonsnum_cal.m
matlab_fwa\FWA\sons_generate.m
matlab_fwa\FWA\util_getFunctionParams.m
matlab_fwa\FWA
matlab_fwa
matlab_fwa\FWA\functionlib1.m
matlab_fwa\FWA\functionlib10.m
matlab_fwa\FWA\functionlib11.m
matlab_fwa\FWA\functionlib12.m
matlab_fwa\FWA\functionlib2.m
matlab_fwa\FWA\functionlib3.m
matlab_fwa\FWA\functionlib4.m
matlab_fwa\FWA\functionlib5.m
matlab_fwa\FWA\functionlib6.m
matlab_fwa\FWA\functionlib7.m
matlab_fwa\FWA\functionlib8.m
matlab_fwa\FWA\functionlib9.m
matlab_fwa\FWA\fun_ackley.m
matlab_fwa\FWA\fun_griewank.m
matlab_fwa\FWA\fun_michalewics.m
matlab_fwa\FWA\fun_perm.m
matlab_fwa\FWA\fun_rastrigin.m
matlab_fwa\FWA\fun_rosenbrock.m
matlab_fwa\FWA\fun_schafferf6.m
matlab_fwa\FWA\fun_schwefel.m
matlab_fwa\FWA\fun_sphere.m
matlab_fwa\FWA\MAIN0107.m
matlab_fwa\FWA\MAIN0810.m
matlab_fwa\FWA\MAIN1112.m
matlab_fwa\FWA\MainRun.m
matlab_fwa\FWA\mathConfidenceComputing.m
matlab_fwa\FWA\mathNorm.m
matlab_fwa\FWA\opt_FWA.m
matlab_fwa\FWA\Result_Statistical.m
matlab_fwa\FWA\scope_cal.m
matlab_fwa\FWA\seedGaussMutation.m
matlab_fwa\FWA\selectNextIterationOnEntropy.m
matlab_fwa\FWA\sonsnum_cal.m
matlab_fwa\FWA\sons_generate.m
matlab_fwa\FWA\util_getFunctionParams.m
matlab_fwa\FWA
matlab_fwa