Standard genetic operators are not always suitable for task matching and scheduling based on permutation representation 基于任務(wù)排列的知識表示,常規(guī)的標(biāo)準(zhǔn)遺傳操作算子并不總是有效的。
Three genetic operators , such as improved crossover , internal crossover and migration as a kind of mutation , were designed based on permutation representation 算法直接采用任務(wù)列表編碼結(jié)構(gòu),在此基礎(chǔ)上設(shè)計出三個專門的遺傳算子,即改進(jìn)的交叉算子、內(nèi)部交叉算子和具有變異功能的遷移算子。