| 1. | A job - shop scheduling algorithm using chained list
调度问题的算法 |
| 2. | Multi - colony diploid immune algorithm for better job - shop scheduling
调度问题的多种群双倍体免疫算法研究 |
| 3. | Application of improved pseudo - parallel genetic algorithm for job - shop scheduling problem
一种新的伪并行遗传算法在车间调度中的应用研究 |
| 4. | Integrated operator genetic algorithm for solving multi - objective flexible job - shop scheduling
多目标柔性作业车间调度的集成算子遗传算法 |
| 5. | The integration problem of job - shop scheduling and simulation is one of the typical problems
车间级的计划调度与仿真的集成问题便是典型的一个。 |
| 6. | Ant colony and particle swarm optimization algorithm - based solution to multi - objective flexible job - shop scheduling problems
基于蚁群粒子群算法求解多目标柔性调度问题 |
| 7. | Multi objective flexible job - shop scheduling ( mofjs ) was studied , and equipment dispatch scheme was optimized
摘要研究了多目标柔性作业车间调度问题，优化了设备分派方案。 |
| 8. | Finally , the results from simulation shows the mas - ga based scheduling system is promising for practical job - shop scheduling
最后，大量的仿真实验证明了基于mas和ga的车间调度系统在实际应用中的前景。 |
| 9. | And of all scheduling problems , the job - shop scheduling problem ( jsp ) is most common and complicate , which is usually a typical np - complete problem
本文主要介绍了约束满足神经网络( csnn )在作业车间调度问题( jsp )中的应用。 |
| 10. | New research ways to solve the common job - shop scheduling are presented in the paper , which have important value both in practice and theory
本文为解决一般job - shop调度问题及动态job - shop调度问题提供了新的研究思路，具有现实和理论的双重意义。 |
