Parallel discrete event simulation of manufacturing systems: a technology survey
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
Automation, Production Systems, and Computer-Integrated Manufacturing
Automation, Production Systems, and Computer-Integrated Manufacturing
A practical approach to solving a newspaper logistics problem using a digital map
Computers and Industrial Engineering - Supply chain management
Genetic Algorithm Optimisation of Mathematical Models Using Distributed Computing
Applied Intelligence
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
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The algorithm is becoming more and more complex because of complicated and uncertain model. Actually, a part of control rules could not be used usually and the scope of many parameters is defined more widely. The above control modes may lead to wasting of much computer system resource and decreasing system running efficiency. A new degenerating algorithm is presented in this paper. Those unusual control modes can be founded by the degenerating mechanism. Those unchanged or changed little parameters are also remembered in the algorithm. The insensitive parameters or the scope of parameters which are changed little can be saved as a common control pattern. The adjustment control parameters in the single algorithm or switching between different controlling algorithms are degenerated to coordinate a small amount of parameters in narrow space. A real control example about logistics is illuminated in the paper. The sensitive parameters scope in common control mode is gained. The parameter database is built to save insensitive running parameters for control objects. The adaptive adjusting process for parameters can be completed in a short time according to sensitive parameters areas. The algorithm efficiency can be increased by simulation analyzing. At the same time, the system robustness is strengthened by the degenerating Mechanism.