位置：成果数据库 > 期刊 > 期刊详情页
An efficient memetic algorithm for solving the job shop scheduling problem
  • ISSN号：0360-8352
  • 期刊名称：Computers & Industrial Engineering
  • 时间：0
  • 页码：699-705
  • 相关项目：复杂制造系统运行优化理论及其应用
作者： Gao, Liang1|Zhang, Guohui2|Zhang, Liping1|Li, Xinyu1|
同期刊论文项目
复杂制造系统运行优化理论及其应用
期刊论文 26
同项目期刊论文
A process-view approach for cross-organizational workflows management
Selection of Simulation Software for Manufacturing System: Application of Analytical Hierarchy Appro
Analysis of gene expression programming for approximation in engineering design
An effective genetic algorithm for the flexible job-shop scheduling problem
An expert system using rough sets theory and self-organizing maps to design space exploration of com
A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop sche
Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and
An effective hybrid algorithm for integrated process planning and scheduling
An agent-based approach for integrated process planning and scheduling
Evolving scheduling rules with gene expression programming for dynamic single-machine scheduling pro
单机成组调度问题的约束满足建模与求解方法
基于Quest的车间物流规划与仿真研究
A modified colonial competitive algorithm for the mixed-model U-line balancing and sequencing proble
Optimization of process planning with various flexibilities using an imperialist competitive algorit
A generalised collaborative optimisation method and its combination with kriging metamodels for engi
基于Memetic算法的拓扑优化方法
基于关键链的自适应缓冲设置方法研究
基于进化禁忌算法的Job—Shop调度问题研究
基于约束理论的多项目组合管理研究与应用