[4].Wang Shuangxi, Zhang Chaoyong, Jin Liangliang, 2014. A hybrid genetic algorithm for flexible job-shop scheduling problem.Advanced Materials Research.889,1179-1184. [5].A.Bagheri, M.Zandiehb, Iraj Mahdavi, M.YazdaniAn, 2010. An artificial immune algorithm for the flexible job-shop scheduli...
这个领域最困难的问题之一是作业车间调度问题(Job-shop Scheduling Problem, JSP),该问题中,一组机器需处理一组工件,每个工件由一系列具有先后顺序约束的工序形成,每个工序只需要一台机器,机器一直可用,可以一次处理一个操作而不会中断。决策内容包括如何对机器上的工序进行排序,已优化给定的性能指标。JSP的典型性能指标...
In this paper, this type of problem is referred to as a job shop scheduling problembased on machine availability constraint which is more complex than typical job shop scheduling problems. In the previous research, this type of problem has been rarely investigated before. Thus a new algorithm ...
evolutionary algorithmdifferential evolution algorithmjob shopschedulingJob shop scheduling is well-known as one of the hardest combinatorial optimization problems and has been demonstrated to be NP-hard problem. In the past decades, several researchers have devoted their effort to develop evolutionary ...
局部化+控制遗传算法(Approach by Localization+Controlled Genetic Algorithm, AL+CGA)(见文献[1]) 粒子群+模拟退火算法(Particle Swarm Optimization+Simulated Annealing,PSO+SA)(见文献[9]) 混合遗传算法(hybrid Genetic Algorithm, hGA)(见文献[12]) ...
Extensive experimentation was conducted using FogSim with two different test scenarios to validate the efficacy of the proposed system in handling the job scheduling problem. The solution quality of the proposed algorithm is compared with five recent state-of-art meta-heuristic algorithms. The results...
Solving Flexible Job-Shop Scheduling Problem Using Gravitational Search Algorithm and Colored Petri Net Scheduled production system leads to avoiding stock accumulations, losses reduction, decreasing or even eliminating idol machines, and effort to better ben... B Barzegar,H Motameni,H Bozorgi - ...
the author presents an algorithm based on ACO paradigm to solve thejointproduction and maintenance scheduling problem. This approach is focused to deal with the parallel machine case, to improve the quality of solutions; an algorithm based on Multi-Objective Ant Colony Optimization (MOACO) approach...
job-shopschedulingproblem：作业车间调度问题 Multistage-based genetic algorithm for flexible job-shop scheduling problem Haipeng Zhang, and Mitsuo Gen Graduate School of Information, Production & Systems, Waseda University Wakamatsu-ku, Kitakyushu 808-0135, JAPAN Email:***.jp,*** Abstract Flexible Job-...
8 K-means is a well-known clustering algorithm for knowledge discovery and data mining.9 References S. Ibrahim, H. Jin, L. Lu, S. Wu, B. He, and L. Qi (Dec. 2010). LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud CloudCom M. Hammoud and M. F. Sakr ...