代码搜索:Inversion

找到约 626 项符合「Inversion」的源代码

代码结果 626
www.eeworm.com/read/236268/14023886

gga config-12-12.gga

populationsize = 50 crossover = 12 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 1000 seed = 5 edgeprobability = 0.01 k-coloring = 3 graphtype = equi run
www.eeworm.com/read/236268/14023888

gga config-12-4.gga

populationsize = 50 crossover = 12 mutation = 4 inversion = 4 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 1000 seed = 5 edgeprobability = 0.01 k-coloring = 3 graphtype = equi runs
www.eeworm.com/read/236268/14023892

gga config-25.gga

populationsize = 50 crossover = 8 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 200 seed = 5 edgeprobability = 0.1 k-coloring = 3 graphtype = arbi runs =
www.eeworm.com/read/236268/14023893

gga config-34-8-1000.gga

populationsize = 50 crossover = 8 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 1000 seed = 5 edgeprobability = 0.008 k-coloring = 3 graphtype = equi run
www.eeworm.com/read/236268/14023895

gga config-9.gga

populationsize = 50 crossover = 8 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 1000 seed = 5 edgeprobability = 0.01 k-coloring = 3 graphtype = equi runs
www.eeworm.com/read/236268/14023897

gga config-34-10-500.gga

populationsize = 50 crossover = 8 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 500 seed = 5 edgeprobability = 0.02 k-coloring = 3 graphtype = equi runs
www.eeworm.com/read/236268/14023900

gga config-34-8-500.gga

populationsize = 50 crossover = 8 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 500 seed = 5 edgeprobability = 0.016 k-coloring = 3 graphtype = equi runs
www.eeworm.com/read/236268/14023901

gga config-31.gga

populationsize = 50 crossover = 8 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 200 seed = 5 edgeprobability = 0.1 k-coloring = 3 graphtype = flat runs =
www.eeworm.com/read/236268/14023903

gga config-34-10-1000.gga

populationsize = 50 crossover = 8 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 1000 seed = 5 edgeprobability = 0.01 k-coloring = 3 graphtype = equi runs
www.eeworm.com/read/236268/14023906

gga config-34-8-50.gga

populationsize = 50 crossover = 8 mutation = 12 inversion = 12 allelemutationprob = 0.1 coloringalgorithm = firstfit nodes = 50 seed = 5 edgeprobability = 0.16 k-coloring = 3 graphtype = equi runs =