搜索资源列表
GA
- 基于改进的遗传算法的任务分配与调度,期刊论文-Improved genetic algorithm-based task allocation and scheduling, journal articles
he-pipeline-processing-stages
- n个任务在流水线上进行m个阶段的加工 ,每一阶段至少有一台机器且至少有一个阶段存在多台机器,并且同一阶段上各机 器的处理性能相同,在每一阶段各任务均要完成一道工序,各任务的每道工序可以 在相应阶段上的任意一台机器上加工,已知任务各道工序的处理时间,要求确定所 有任务的排序以及每一阶段上机器的分配情况,使得调度指标(一般求Makespan)最 小。-n-m on the task in the pipeline processing stages,
Ant-Colony-Optimization-for-Task-Matching-and-Sch
- Thesis : Ant Colony Optimization for Task Matching and Scheduling
Using-ant-colonies-to-solve-multiprocessor-task-g
- Thesis : Using ant colonies to solve multiprocessor task graph scheduling
pso
- 引入了动态联盟思想,构造了无线传感器网络任务分配的动态联盟模型及其相应的求解算法,并引入多Agent思想,提出了一种带多Agent的无线传感器网络自适应任务调度策略-Union, the introduction of dynamic thinking, a dynamic alliance of wireless sensor network task allocation model and its corresponding solution algorithm, and the intr
OptaPlanner
- OptaPlanner是一个轻型嵌入式优化的规划引擎,可以解决雇员排班、日程调度、课程表、车间调度等问题。-OptaPlanner is a lightweight, embeddable planning engine that optimizes planning problems. It solves use cases, such as: Employee shift rostering: timetabling nurses, repairmen, ... Agen
GA_Flow-Shop
- 流水线型车间作业调度问题可以描述如下:n个任务在流水线上进行m个阶段的加工,每一阶段至少有一台机器且至少有一个阶段存在多台机器,并且同一阶段上各机器的处理性能相同,在每一阶段各任务均要完成一道工序,各任务的每道工序可以在相应阶段上的任意一台机器上加工-Pipelined job shop scheduling problem can be described as follows: n tasks for the m-th stage processing on the assembly lin