MO-ASMO 的分布式控制器，一种基于代理的多目标优化算法（python）

[{"title":"（ 29 个子文件 195KB ） MO-ASMO 的分布式控制器，一种基于代理的多目标优化算法（python）","children":[{"title":"dmosopt-master","children":[{"title":"LICENSE <span style='color:#111;'> 34.33KB </span>","children":null,"spread":false},{"title":"dmosopt","children":[{"title":"termination.py <span style='color:#111;'> 12.47KB </span>","children":null,"spread":false},{"title":"SMPSO.py <span style='color:#111;'> 6.92KB </span>","children":null,"spread":false},{"title":"normalization.py <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"MOASMO.py <span style='color:#111;'> 17.47KB </span>","children":null,"spread":false},{"title":"sampling.py <span style='color:#111;'> 4.52KB </span>","children":null,"spread":false},{"title":"dda.py <span style='color:#111;'> 2.41KB </span>","children":null,"spread":false},{"title":"datatypes.py <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false},{"title":"MOEA.py <span style='color:#111;'> 7.40KB </span>","children":null,"spread":false},{"title":"discrepancy.py <span style='color:#111;'> 3.59KB </span>","children":null,"spread":false},{"title":"dmosopt.py <span style='color:#111;'> 56.27KB </span>","children":null,"spread":false},{"title":"AGEMOEA.py <span style='color:#111;'> 12.92KB </span>","children":null,"spread":false},{"title":"gp.py <span style='color:#111;'> 35.72KB </span>","children":null,"spread":false},{"title":"indicators.py <span style='color:#111;'> 3.67KB </span>","children":null,"spread":false},{"title":"dmosopt_train.py <span style='color:#111;'> 2.52KB </span>","children":null,"spread":false},{"title":"NSGA2.py <span style='color:#111;'> 5.46KB </span>","children":null,"spread":false},{"title":"dmosopt_analyze.py <span style='color:#111;'> 6.75KB </span>","children":null,"spread":false},{"title":"feasibility.py <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"dmosopt_onestep.py <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false},{"title":"GLP.py <span style='color:#111;'> 3.09KB </span>","children":null,"spread":false}],"spread":false},{"title":"examples","children":[{"title":"example_dmosopt_zdt1.py <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"example_dmosopt_zdt1_file.py <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false},{"title":"example_dmosopt_lorenz.py <span style='color:#111;'> 3.18KB </span>","children":null,"spread":false},{"title":"example_dmosopt_zdt2.py <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"example_dmosopt_zdt3.py <span style='color:#111;'> 2.91KB </span>","children":null,"spread":false}],"spread":true},{"title":"setup.py <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.67KB </span>","children":null,"spread":false},{"title":"notebooks","children":[{"title":"Surrogate Sensitivity Analysis.ipynb <span style='color:#111;'> 219.22KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]