摘要
针对一类非线性规则问题，分析传统优化方法的局限性，阐述遗传算法的基本思想和特点，提出与传统方法不同的编码方式。
This paper analysis the limitations of traditional optimization metheods for a kind of non linear programming(NLP).The basic characteristics of GA are introduced.A kind of NLP is solved by using genetic algorithms with new coding method.The effectiveness of genetic algorithms is demonstrated by examples.
出处
《沈阳建筑工程学院学报》
1997年第2期115-118,共4页
Journal of Shenyang Archit Civil Eng Univ: Nat Sci
关键词
非线性规划
染色体
概率
遗传算法
non linear programming
chromosome
probability
genetic algorithms
