[1]李二超,马玉泉.基于快速二层解修补策略的区间离散遗传算法[J].南京师范大学学报(自然科学版),2019,42(03):73-79.[doi:10.3969/j.issn.1001-4616.2019.03.010]
　Li Erchao,Ma Yuquan.Interval Discrete Genetic Algorithms Based on FastTwo-Level Solution Repair Strategy[J].Journal of Nanjing Normal University(Natural Science Edition),2019,42(03):73-79.[doi:10.3969/j.issn.1001-4616.2019.03.010]
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基于快速二层解修补策略的区间离散遗传算法()
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《南京师范大学学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第42卷
期数:
2019年03期
页码:
73-79
栏目:
·全国机器学习会议论文专栏·
出版日期:
2019-09-30

文章信息/Info

Title:
Interval Discrete Genetic Algorithms Based on FastTwo-Level Solution Repair Strategy
文章编号:
1001-4616(2019)03-0073-07
作者:
李二超; 马玉泉
兰州理工大学电气工程与信息工程学院,甘肃 兰州 730050
Author(s):
Li Erchao; Ma Yuquan
College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China
关键词:
多目标优化; 区间离散变量; 遗传算法; 快速二层解修补; 约束
Keywords:
multi-objective optimization; interval discrete variables; genetic algorithm; fast two-level repair; constraints
分类号:
TP273
DOI:
10.3969/j.issn.1001-4616.2019.03.010
文献标志码:
A
摘要:
以等式约束下的区间离散多目标优化问题为研究对象,提出了快速二层解修补策略,其主要思想是:首先,用初始解生成器生成一个满足等式约束条件的种群,然后,将此种群中可修补个体以其违反约束度最小为目标函数,将落在未定义区间的个体修补至定义区间内,最后,在定义子区间内微调得到满足约束条件的个体,其调整方法如下:按照当前个体中的每个变量在其所处区间内的可调节上下限在此个体总的可调节上下限值内所占的比例进行调节,使得不满足等式约束的变量得到有效修补. 最后,通过实验验证了本文算法的有效性.
Abstract:
A fast two-level solution repair strategy is proposed for interval discrete multi-objective optimization problem with equality constraints. The main idea is:first,a population satisfying equality constraints is generated by using the initial solution generator,and then,the repairable individuals in this population are repaired to definitions by taking the minimum degree of violation of constraints as the objective function. In the interval,finally,the individual satisfying the constraints can be fine-tuned in the definition sub-interval. The adjusting method is as follows:according to the proportion of the upper and lower limits of each variable in the current individual in its interval,the variable that does not satisfy the equality constraints can be effectively repaired by adjusting the proportion of the upper and lower limits of the individual in the total adjustable upper and lower limits. Finally,the effectiveness of the proposed algorithm is verified by experiments.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-07-05.基金项目:国家自然科学基金(61763026、61403175). 通讯联系人:李二超,博士,副教授,研究方向:多目标优化. Email:lecstarr@163.com
更新日期/Last Update: 2019-09-30