genetic algorithms gas

基本解釋

How to solve unit commitment (UC) and load dispatch of power system by genetic algorithms (GAs) is researched.
用遺傳算法解決電力系統(tǒng)機(jī)組組合及機(jī)組間的負(fù)荷分配問題。
Genetic algorithms (GAs) have been applied widely in chemistry and chemical field due to their parallelism and effective utilization of global information.
遺傳算法由于其并行性和對(duì)全局信息的有效利用能力在化學(xué)和化工界得到越來越廣泛的應(yīng)用。
Multiple Sequence Alignment (MSA)has great importance in the field of Bioinformatics, MSA is a typical NP-Complete problem, and genetic algorithms (GAs )is the perfect method for solving NP-Complete.
多序列聯(lián)配（MSA）在生物信息學(xué)研究中占有重要地位，MSA問題是一個(gè)典型的NP問題，遺傳算法是求解NP完全問題的一種理想方法。