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1)  Job-shop scheduling problem
作业车间调度问题
1.
For job-shop scheduling problem,a minimizing idle time process procedure and its mutation operator were put forward,and a self-adaptive genetic algorithm was designed.
针对作业车间调度问题,提出了最小化空闲时间的处理过程及其变异算子,设计了一种自适应遗传算法。
2)  job shop scheduling problem
作业车间调度问题
1.
Hybrid QPSO algorithm for job shop scheduling problems
求解作业车间调度问题的混合QPSO算法
2.
The paper designed an enhanced simulated annealing algorithm(ESA) with back jump tracking in connection with the critical path theory of a job shop scheduling problem.
结合作业车间调度问题的关键路径理论,设计了一种具有多次退火过程的调度算法。
3.
A discrete Particle Swarm Optimization(PSO) algorithm was presented for Job Shop scheduling problem.
提出了用于解决作业车间调度问题的离散版粒子群算法。
3)  job-shop scheduling
作业车间调度问题
1.
Solving job-shop scheduling with mind evolutionary computation;
应用思维进化计算求解作业车间调度问题
2.
A new coevolutionary genetic algorithm for job-shop scheduling problems;
一种求解作业车间调度问题的协同进化算法
4)  job-shop schedule problem
作业车间调度问题
1.
Three typical job-shop schedule problem (JSP)samples were practiced and the results showed that this algorithm can avoid pre-maturity and advance constringency.
通过典型作业车间调度问题(JSP)实例进行了仿真实验,表明该算法不仅能够克服早熟现象,而且能够加快收敛速度。
5)  job-shop scheduling problem
车间作业调度问题
1.
The ASP was treated as a particular job-shop scheduling problem(JSP),and an ant colony algorithm(ACA) for the ASP was designed with the objective of minimizing the makespan of landing airplanes.
本文首先将ASP表示成一个特殊的车间作业调度问题(JSP),以减少着陆飞机队列完成时间为优化目标,设计了求解ASP的蚁群算法。
2.
Aiming at these limitations, an improved algorithm called Grafting-Symbiosis Genetic Algorithm (GSGA) is developed for job-shop scheduling problem.
针对现有遗传算法在解决复杂车间作业调度问题时存在早熟和进化速度缓慢的缺点,提出了一种改进的算法———嫁接共生遗传算法。
3.
In this paper,we propose the modified genetic algorithm with search area adaptation(mGSA) for solving the Job-shop scheduling problem(JSP).
文章阐述了一种改进的搜索空间适应性的遗传算法(mGSA)用于解决车间作业调度问题(JSP);这种方法不同于GSA不需要带特征继承率调节能力的交叉操作。
6)  Job Shop Scheduling Problem(JSP)
作业车间调度问题(JSP)
补充资料:兵棋作业(见想定作业)


兵棋作业(见想定作业)
war gaming exercise

bingqi zuoye兵棋作业(war ga而ng exercise)见想定作业。
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