genetic algorithms gas

基本解释

How to solve unit commitment (UC) and load dispatch of power system by genetic algorithms (GAs) is researched.
用遗传算法解决电力系统机组组合及机组间的负荷分配问题。
Genetic algorithms (GAs) have been applied widely in chemistry and chemical field due to their parallelism and effective utilization of global information.
遗传算法由于其并行性和对全局信息的有效利用能力在化学和化工界得到越来越广泛的应用。
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.
多序列联配（MSA）在生物信息学研究中占有重要地位，MSA问题是一个典型的NP问题，遗传算法是求解NP完全问题的一种理想方法。