1) job shop scheduling problem
车间作业调度问题
1.
An improved coding particle swarm optimization algorithm for the job shop scheduling problem was presented, and an effective modeling based on Petri nets was put forward.
提出一种有效的基于Petri网建模及改进的编码粒子群算法的车间作业调度问题优化算法,分析对比了现有的作业车间调度领域中的基于人工智能的优化算法,对所提出的基于Petri网建模和改进的粒子群算法的优化算法进行了性能分析,并对该算法进行了仿真研究,结果表明该算法是可行、有效的。
2.
This paper proposes a method of adaptive neural network based on constraint satisfaction for Job Shop Scheduling Problem.
提出一种基于约束满足的自适应神经网络方法求解车间作业调度问题。
3.
The novel transition rule and the different pheromone reinforcement rules are discussed in this paper when ant colony systems are applied to minimizing the make-span in job shop scheduling problem.
应用改进型蚁群算法解决车间作业调度问题。
2) 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。
3) 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。
4) Job Shop Scheduling Problem(JSP)
作业车间调度问题(JSP)
5) jobshop scheduling problem (JSP)
车间作业调度问题(JSP)
6) 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
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。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条