[{"title":"( 25 个子文件 426KB ) 一种新的自然启发优化算法:Aptenodytes Forsteri 优化 (AFO)","children":[{"title":"A-new-Nature-inspired-optimization-algorithm-AFO-related-code","children":[{"title":"Practical issues - 开源用","children":[{"title":"11.Plasma trajectory planning for 6R industrial robots.zip <span style='color:#111;'> 119.38KB </span>","children":null,"spread":false},{"title":"6. Logistics centre site selection issues.zip <span style='color:#111;'> 48.60KB </span>","children":null,"spread":false},{"title":"1. Four engineering constrained design problems.zip <span style='color:#111;'> 10.48KB </span>","children":null,"spread":false},{"title":"5. Grid map - robot routing.zip <span style='color:#111;'> 23.15KB </span>","children":null,"spread":false},{"title":"9. Optimisation of power system bus types based on tide calculation.zip <span style='color:#111;'> 33.06KB </span>","children":null,"spread":false},{"title":"8. Oil plant - 3D map - aircraft pathfinding.zip <span style='color:#111;'> 15.66KB </span>","children":null,"spread":false},{"title":"10.Optimization of vehicle scheduling for cold chain distribution logistics of a dairy product enterprise.zip <span style='color:#111;'> 20.12KB </span>","children":null,"spread":false},{"title":"3. Aviation scheduling - multi-sector scheduling.zip <span style='color:#111;'> 36.85KB </span>","children":null,"spread":false},{"title":"7. Multi-row layout of the workshop combined with AGV zoning.zip <span style='color:#111;'> 20.97KB </span>","children":null,"spread":false},{"title":"12.The problem of TSP and its variants.zip <span style='color:#111;'> 14.77KB </span>","children":null,"spread":false},{"title":"2. AFO algorithm optimises neural networks.zip <span style='color:#111;'> 13.08KB </span>","children":null,"spread":false},{"title":"4. Flexible workshop scheduling.zip <span style='color:#111;'> 46.88KB </span>","children":null,"spread":false},{"title":"readme.txt <span style='color:#111;'> 3.43KB </span>","children":null,"spread":false}],"spread":false},{"title":"benchmark functions","children":[{"title":"func_plot.m <span style='color:#111;'> 3.64KB </span>","children":null,"spread":false},{"title":"main1.m <span style='color:#111;'> 3.54KB </span>","children":null,"spread":false},{"title":"AFO2.m <span style='color:#111;'> 10.30KB </span>","children":null,"spread":false},{"title":"Get_Functions_details.m <span style='color:#111;'> 6.24KB </span>","children":null,"spread":false},{"title":"fitFCN_BX.m <span style='color:#111;'> 93B </span>","children":null,"spread":false},{"title":"checkX.m <span style='color:#111;'> 125B </span>","children":null,"spread":false},{"title":"AFO3.m <span style='color:#111;'> 7.12KB </span>","children":null,"spread":false},{"title":"AFO1.m <span style='color:#111;'> 8.57KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.88KB </span>","children":null,"spread":false},{"title":"UpdateLog.txt <span style='color:#111;'> 3.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 6.98KB </span>","children":null,"spread":false},{"title":"UpdateLog.txt <span style='color:#111;'> 6.11KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]