版权说明 操作指南
首页 > 成果 > 详情

An improved brain storm optimization with chunking-grouping method

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Guo, Jinglei*;Gao, Chen;Jiang, Shouyong;Xie, Wei;Wu, Zhijian
通讯作者:
Guo, Jinglei;Xie, W
作者机构:
[Guo, Jinglei; Xie, Wei; Gao, Chen] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.
[Jiang, Shouyong] Univ Aberdeen, Dept Comp Sci, Aberdeen, Scotland.
[Wu, Zhijian] Wuhan Univ, Sch Comp Sci, Wuhan, Peoples R China.
[Guo, Jinglei; Xie, W; Guo, JL; Xie, Wei] Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
通讯机构:
[Xie, W ; Guo, JL] C
Cent China Normal Univ, Dept Comp Sci, Wuhan, Peoples R China.
语种:
英文
关键词:
brain storm optimization (BSO);chunking-group;learning mechanism
期刊:
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
ISSN:
1532-0626
年:
2024
卷:
36
期:
4
页码:
e7924-
基金类别:
This work is part funded by the National Natural Science Foundation of China (No. 62377026), and the Fundamental Research Funds for the Central Universities (No. CCNU20TS026). [62377026]; National Natural Science Foundation of China [CCNU20TS026]; Fundamental Research Funds for the Central Universities
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Brain storm optimization (BSO) is a population-based intelligence algorithm for optimization problems, which has attracted researchers' growing attention due to its simplicity and efficiency. An improved BSO, called CIBSO, is presented in this article. First of all, a new grouping method, in which the population is partitioned into chunks according to the fitness and recombined to groups, is developed to balance each group with same quality-level. Afterwards, a new mutation strategy is designed in CIBSO and a learning mechanism is used to adaptively select appropriate strategy. Experiments on ...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com