一种求解约束优化问题的新算法

• 作者: 丁立新 康立山 曾三友
• 来源期刊: 计算机科学
• 学科: 工学
• 关键词: Genetic algorithm,Functon optimization,Constrained function
• 年，卷（期）: 2001,（7）
• 所属期刊栏目: 人工智能
• 页码范围: 95-97,116
• 页数: 4页
• 分类号: TP3
• 字数: 3184字
• 语种: 中文
• DOI: 10.3969/j.issn.1002-137X.2001.07.025

摘要

A new evolutionary algorithm for constrained optimization problem is proposed in this study.In the algorithm,search space was gradually constracted to optimal solution while evolutionary algorithm was used repeatedly and incompletely,until the space constracted small enough. Then evolutionary algorithm ran fully. Real coding was used,and only crossover operators were adopted but two kinds of crossover operators were used in the new algorithm. The computation results dimonstrated that the new algorithm is superior to other methods in terms of solution quality, robustness and convergent speed.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	康立山		127	2409	27.0	44.0
2	丁立新		62	641	13.0	22.0
3	曾三友		7	71	4.0	7.0