位置：成果数据库 > 期刊 > 期刊详情页
A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop sche
  • ISSN号：0268-3768
  • 期刊名称：International Journal of Advanced Manufacturing Te
  • 时间：0
  • 页码：757-767
  • 相关项目：复杂制造系统运行优化理论及其应用
作者： Wang, Xiaojuan1|Gao, Liang1|Zhang, Chaoyong1|Shao, 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 efficient memetic algorithm for solving the job shop scheduling problem
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
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