萤火虫算法 CS PSO

  以优化SVM算法的参数c和g为例，对FA（萤火虫算法）MATLAB源码进行了逐行中文注解。(The firefly algorithm is based on the development of the bioluminescent biological characteristics of the natural world and is also based on the stochastic optimization algorithm of the population. There are two versions of the current literature on firefly algorithms. One is the Indian scholar Krishnanand and others, called GSO(glowworm swarm optimization); The other, proposed by the Cambridge scholar Xin-She Yang, is called the firefly algorithm. The bionic principle of the two algorithms is the same, but there are some differences in the implementation.)

CS-SVM, 0 , 2016-09-05
CS-SVM\CS_SVM_exmp.m, 3051 , 2016-09-05
CS-SVM\CS_SVR_exmp.m, 2716 , 2016-09-05
CS-SVM\cuckoo_ori_with_chinese_note.m, 6483 , 2016-09-05
CS-SVM\empty_nests.m, 999 , 2016-09-05
CS-SVM\fobj.m, 426 , 2016-09-05
CS-SVM\get_best_nest.m, 676 , 2016-09-05
CS-SVM\get_best_nest_svm.m, 698 , 2016-09-05
CS-SVM\get_cuckoos.m, 1629 , 2016-09-05
CS-SVM\mymae.m, 70 , 2016-09-05
CS-SVM\mymape.m, 85 , 2016-09-05
CS-SVM\mymse.m, 74 , 2016-09-05
CS-SVM\objfun.m, 402 , 2016-09-05
CS-SVM\simplebounds.m, 376 , 2016-09-05
CS-SVM\wine.mat, 20168 , 2016-09-05
CS-SVM\wndspd.mat, 447 , 2016-09-05
PSO-SVM, 0 , 2016-09-05
PSO-SVM\fobj.m, 426 , 2016-09-05
PSO-SVM\fun.m, 108 , 2016-09-05
PSO-SVM\mymae.m, 70 , 2016-09-05
PSO-SVM\mymape.m, 85 , 2016-09-05
PSO-SVM\mymse.m, 74 , 2016-09-05
PSO-SVM\objfun.m, 402 , 2016-09-05
PSO-SVM\PSO_SVM_exmp.m, 4106 , 2016-09-05
PSO-SVM\PSO_SVR_exmp.m, 3814 , 2016-09-05
PSO-SVM\pso_test.m, 2276 , 2016-09-05
PSO-SVM\wine.mat, 20168 , 2016-09-05
PSO-SVM\wndspd.mat, 447 , 2016-09-05