simple genetic algorithm sga 中文意思是什麼
simple genetic algorithm sga
解釋
基本遺傳演算法-
The main contributions of this dissertation are as follows : ( 1 ) a eugenic evolution strategy was proposed to improve the efficiency of the conventional simple genetic algorithm ( sga ) searching. the eugenic evolution genetic algorithm ( ega ) collects the population information along the evolution of children generations and constructs a deterministic optimization algorithm, which will be embedded in the evolution process at appropriate stage to speed up the local searching
由於優化方法在建模中有相當重要的作用，因此，接著對具有全局尋優性能的遺傳演算法進行了較為深入的研究，提出了基於優生演進策略的遺傳演算法（ ega ） ，使尋優性能有較大的提高，並成功應用於化工領域中重油熱解模型參數的估計。 -
The algorithm can effectively o vercome immature convergence phenomenon in simple genetic algorithm ( sga ). it can improve not only antibody ' s similarity but also its diversity. and it can avoid local optimal solution and shorten searching time
該演算法可以有效地克服基本遺傳演算法的未成熟收斂現象，既可以提高抗體的相似性又可以兼顧到抗體的多樣性，為避免演算法陷入局部最優解，縮短搜索時間提供了保證。 -
In the first part of this thesis, to cope with the low searching efficiency and premature of simple genetic algorithm ( sga ), a kind of improved genetic algorithm ( iga ) is presented
本文首先針對簡單遺傳演算法（ sga ）中存在的收斂速度慢、易陷入局部極小點（即早熟）等缺點，對其進行了改進。
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