2.txt

基于蚁群算法和支持向量机的最优子集提取 蚁群算法采用蚁群系统!

8 1:3.000000 2:0.000000 3:3.517885 4:0.755523 5:1.101003 6:0.729629 7:0.769848 8:0.736577 9:0.831251 10:0.602023 11:0.716747 12:0.606522 13:0.805891 14:0.721806 15:0.643513 16:0.711004 17:0.687167 18:0.709041 19:0.662513 20:0.546811 21:0.682849 22:0.664068 23:0.674121 24:0.689642 25:0.689617 26:0.617888 27:0.641631 28:0.717994 29:1.026111 30:0.412660 31:11.339625 32:21.094311 
8 1:3.000000 2:0.000000 3:3.257424 4:0.785364 5:0.988303 6:0.735434 7:0.627251 8:0.716114 9:0.702430 10:0.639682 11:0.584462 12:0.588171 13:0.662188 14:0.693240 15:0.608903 16:0.631976 17:0.641170 18:0.493527 19:0.581178 20:0.586350 21:0.643589 22:0.650323 23:0.631563 24:0.659380 25:0.547704 26:0.693177 27:0.555633 28:0.574762 29:0.798924 30:0.516721 31:10.964681 32:19.336817 
9 1:2.000000 2:0.000000 3:2.900432 4:0.744781 5:0.378434 6:0.540027 7:0.640842 8:0.626298 9:0.423423 10:0.392758 11:0.529941 12:0.535381 13:0.470139 14:0.410022 15:0.523560 16:0.504263 17:0.534362 18:0.520138 19:0.458951 20:0.419226 21:0.407996 22:0.478430 23:0.486225 24:0.578305 25:0.329770 26:0.361249 27:0.245790 28:0.336851 29:0.463639 30:2.105397 31:8.462067 32:21.915720 
9 1:2.000000 2:0.000000 3:3.639441 4:1.145789 5:0.367973 6:0.927164 7:0.917689 8:0.460225 9:0.787565 10:0.394827 11:0.624870 12:0.610996 13:0.687770 14:0.615392 15:0.426428 16:0.605647 17:0.401374 18:0.380685 19:0.625736 20:0.441484 21:0.538171 22:0.397230 23:0.551352 24:0.447962 25:0.396088 26:0.321621 27:0.282932 28:0.394916 29:0.864718 30:2.174133 31:10.108915 32:22.955273 
9 1:2.000000 2:0.000000 3:4.101933 4:0.891485 5:0.717160 6:0.754373 7:0.955920 8:0.764499 9:0.647843 10:0.534172 11:0.732865 12:0.658572 13:0.734706 14:0.599362 15:0.704081 16:0.741823 17:0.669976 18:0.614610 19:0.596191 20:0.648521 21:0.693674 22:0.543275 23:0.616479 24:0.556701 25:0.573765 26:0.569681 27:0.379442 28:0.288683 29:0.958903 30:2.720222 31:9.828008 32:22.064661 
0 1:2.000000 2:0.000000 3:3.500206 4:0.176852 5:0.379605 6:0.089574 7:0.203628 8:0.167774 9:0.260732 10:0.214827 11:0.172838 12:0.217023 13:0.087278 14:0.154868 15:0.144855 16:0.120687 17:0.149058 18:0.095459 19:0.163928 20:0.163077 21:0.206149 22:0.154926 23:0.103386 24:0.043946 25:0.141950 26:0.179891 27:0.054604 28:0.113350 29:1.071787 30:0.070306 31:11.835847 32:19.425829 
0 1:2.000000 2:0.000000 3:4.051078 4:0.158719 5:0.262966 6:0.309985 7:0.249992 8:0.221151 9:0.079218 10:0.123508 11:0.168951 12:0.076114 13:0.034495 14:0.106562 15:0.094439 16:0.137260 17:0.149065 18:0.137807 19:0.159679 20:0.223636 21:0.128821 22:0.227988 23:0.060845 24:0.100911 25:0.115458 26:0.086551 27:0.092772 28:0.139516 29:1.144424 30:0.195411 31:12.274764 32:19.738047 
0 1:2.000000 2:0.000000 3:3.849380 4:0.104367 5:0.407987 6:0.177994 7:0.204362 8:0.214975 9:0.140288 10:0.153426 11:0.162892 12:0.121082 13:0.140862 14:0.191625 15:0.165787 16:0.223773 17:0.105394 18:0.163662 19:0.221015 20:0.091468 21:0.157903 22:0.055815 23:0.119870 24:0.122967 25:0.117487 26:0.169350 27:0.084357 28:0.035405 29:1.189485 30:0.024870 31:12.018165 32:20.739902 
10 1:2.000000 2:0.000000 3:3.992327 4:1.740394 5:0.331726 6:0.454669 7:0.137811 8:0.203835 9:0.368136 10:0.357001 11:0.321189 12:0.348946 13:0.332479 14:0.329499 15:0.306220 16:0.370909 17:0.354339 18:0.323841 19:0.337268 20:0.353892 21:0.362371 22:0.295178 23:0.382162 24:0.045172 25:0.257902 26:0.279270 27:0.303552 28:0.796500 29:0.392520 30:0.636079 31:9.887830 32:18.485514 
10 1:2.000000 2:0.000000 3:4.117511 4:1.536962 5:0.257860 6:0.387459 7:0.142273 8:0.393361 9:0.328499 10:0.330333 11:0.263451 12:0.277167 13:0.348017 14:0.258241 15:0.373686 16:0.304521 17:0.282824 18:0.188388 19:0.225328 20:0.444806 21:0.186110 22:0.328025 23:0.356957 24:0.204211 25:0.141346 26:0.386754 27:0.257668 28:0.750551 29:0.436018 30:0.287718 31:9.678941 32:19.143585 
10 1:2.000000 2:0.000000 3:4.225460 4:1.575885 5:0.536242 6:0.533171 7:0.203678 8:0.201593 9:0.192756 10:0.182871 11:0.205993 12:0.235404 13:0.293678 14:0.187272 15:0.289408 16:0.200792 17:0.388726 18:0.266299 19:0.172990 20:0.266072 21:0.377891 22:0.286979 23:0.309085 24:0.031159 25:0.172294 26:0.405742 27:0.246473 28:0.686838 29:0.517472 30:0.209412 31:9.903586 32:19.826656 
11 1:3.000000 2:0.000000 3:3.815958 4:0.586049 5:0.871298 6:0.537287 7:0.625736 8:0.723335 9:0.493325 10:0.749079 11:0.717299 12:0.691265 13:0.751516 14:0.702164 15:0.788460 16:0.659036 17:0.664155 18:0.689821 19:0.575139 20:0.691149 21:0.730389 22:0.702310 23:0.624409 24:0.623580 25:0.780450 26:0.572927 27:0.764186 28:0.674297 29:1.321012 30:0.520202 31:12.189439 32:20.986105 
11 1:3.000000 2:0.000000 3:3.651499 4:0.565214 5:1.168249 6:0.494083 7:0.542707 8:0.905189 9:0.462873 10:0.696809 11:0.627730 12:0.660324 13:0.721216 14:0.694820 15:0.746288 16:0.703935 17:0.641171 18:0.618639 19:0.712975 20:0.660496 21:0.717628 22:0.726909 23:0.614063 24:0.620155 25:0.704541 26:0.572909 27:0.860816 28:0.752268 29:1.246094 30:0.485088 31:12.502361 32:20.414049 
11 1:3.000000 2:0.000000 3:3.345769 4:0.701919 5:0.806645 6:0.851752 7:0.583370 8:0.931026 9:0.548757 10:0.759311 11:0.726880 12:0.732539 13:0.628274 14:0.776338 15:0.602764 16:0.768316 17:0.767380 18:0.750767 19:0.652554 20:0.708041 21:0.690883 22:0.648964 23:0.775605 24:0.742916 25:0.748698 26:0.535621 27:0.785760 28:0.591598 29:1.083853 30:0.302609 31:12.101095 32:20.979033 
12 1:1.000000 2:0.000000 3:5.594116 4:2.018101 5:1.819465 6:0.612910 7:0.197761 8:0.468615 9:0.289964 10:0.192040 11:0.079257 12:0.103999 13:0.147159 14:0.134421 15:0.105345 16:0.058704 17:0.000013 18:0.046475 19:0.059737 20:0.218852 21:0.028484 22:0.083468 23:0.150767 24:0.153899 25:0.258553 26:0.393007 27:0.165996 28:1.844994 29:0.710742 30:4.231810 31:8.418180 32:19.737986 
12 1:1.000000 2:0.000000 3:5.883231 4:2.016785 5:1.794838 6:0.928216 7:0.291204 8:0.754277 9:0.472357 10:0.256096 11:0.156250 12:0.138030 13:0.210368 14:0.074457 15:0.181493 16:0.130831 17:0.137420 18:0.083505 19:0.143578 20:0.099485 21:0.182987 22:0.223274 23:0.122118 24:0.111278 25:0.377401 26:0.349681 27:0.215119 28:1.731408 29:0.838986 30:4.682447 31:8.411455 32:20.294308 
12 1:1.000000 2:0.000000 3:5.782006 4:1.902847 5:1.948771 6:0.694322 7:0.169616 8:0.298883 9:0.499464 10:0.299433 11:0.008222 12:0.054566 13:0.072427 14:0.103303 15:0.102806 16:0.067761 17:0.033334 18:0.092883 19:0.056007 20:0.174449 21:0.192994 22:0.203656 23:0.133763 24:0.138735 25:0.259818 26:0.190381 27:0.336753 28:2.026272 29:0.333344 30:4.722604 31:9.104953 32:20.050240 
13 1:2.000000 2:0.000000 3:3.748099 4:0.206439 5:0.441246 6:0.263450 7:0.199605 8:0.248955 9:0.022747 10:0.203217 11:0.194106 12:0.165105 13:0.108783 14:0.135949 15:0.129289 16:0.174849 17:0.202758 18:0.160654 19:0.093540 20:0.133122 21:0.110583 22:0.186978 23:0.246627 24:0.159360 25:0.244777 26:0.063522 27:0.095129 28:0.023506 29:1.013317 30:0.045918 31:12.771248 32:19.806322 
13 1:2.000000 2:0.000000 3:4.004884 4:0.086826 5:0.550058 6:0.083286 7:0.186761 8:0.235256 9:0.156695 10:0.215878 11:0.074785 12:0.166658 13:0.088443 14:0.145506 15:0.126314 16:0.166892 17:0.199987 18:0.089926 19:0.115393 20:0.109354 21:0.143420 22:0.166650 23:0.161186 24:0.178404 25:0.181248 26:0.051247 27:0.108527 28:0.122607 29:1.102161 30:0.107956 31:12.853008 32:20.543623 
13 1:2.000000 2:0.000000 3:3.465047 4:0.143415 5:0.441046 6:0.171469 7:0.385983 8:0.179069 9:0.105267 10:0.133083 11:0.008274 12:0.259302 13:0.126740 14:0.145574 15:0.214549 16:0.145371 17:0.253850 18:0.187302 19:0.156761 20:0.128766 21:0.081964 22:0.131151 23:0.156186 24:0.101092 25:0.222050 26:0.075549 27:0.081053 28:0.149341 29:1.122947 30:0.121098 31:12.431001 32:20.139795