检索结果-南通市图书馆

Solving flexible job shop scheduling problem by a multi-swarm collaborative genetic algorithm

Journal of Systems Engineering and Electronics 2021年第2期32卷 261-271页

作者： WANG Cuiyu LI Yang LI Xinyu School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China

The flexible job shop scheduling problem(FJSP),which is NP-hard,widely exists in many manufacturing *** is very hard to be solved.A multi-swarm collaborative genetic algorithm(MSCGA)based on the collaborative optimization algorithm is proposed for the ***-population structure is used to independently evolve two sub-problems of the FJSP in the *** operators are adopted and designed to ensure this algorithm to achieve a good *** famous FJSP benchmarks are chosen to evaluate the effectiveness of the *** adaptability and superiority of the proposed method are demonstrated by comparing with other reported algorithms.

关键词： flexible job shop scheduling problem(FJSP) collaborative genetic algorithm co-evolutionary algorithm

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Multi-pipe Path Planning by Modified Ant colony Optimization

引用

computer Aided Drafting,Design and Manufacturing 2011年第1期21卷 1-7页

作者： QU Yan-feng JIANG Dan LIU Bin Shanghai University of Electric Power Shanghai 200090 China Shanghai Jiao Tong University Shanghai 200030 China

Path planning in 3D geometry space is used to find an optimal path in the restricted environment, according to a certain evaluation criteria. To solve the problem of long searching time and slow solving speed in 3D path planning, a modified ant colony optimization is proposed in this paper. Firstly, the grid method for environment modeling is adopted. Heuristic information is connected with the planning space. A semi-iterative global pheromone update mechanism is proposed. Secondly, the optimal ants mutate the paths to improve the diversity of the algorithm after a defined iterative number. Thirdly, co-evolutionary algorithm is used. Finally, the simulation result shows the effectiveness of the proposed algorithm in solving the problem of 3D pipe path planning.

关键词： 3D multi-pipe path planning ant colony optimization semi-iterative co-evolutionary algorithm

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：