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This paper investigates the evolutionary dynamics and optimization problem of the boxed pig games with the mechanism of passive reward and punishment by using the semi‐tensor product method. First, an algorithm is provided to construct the algebraic formulation for the dynamics of the networked evolutionary boxed pig games with the mechanism of passive reward and punishment. Then, the impact of reward...
This paper addresses a surgeries scheduling problem with a single server in charge of key medical facility. A surgery can be processed with a precedent setup by the server on one of available operating rooms. The setup can be processed at only one surgery at any time. Thus, it is critically important to simultaneously consider the setup precedence and operating room scheduling decisions. A robust...
Operation room scheduling not only deals with deciding on the time to perform the surgeries in the case of full and efficient utilization of medical resources and guaranteeing surgery quality for patients, but also needs to consider how to respond to emergency cases. Under the limited hospital resources constraints, this task plays a significant role in providing timely treatments for the emergency...
Indirect air cooling technology for its water-saving, high heat transfer efficiency and low coal consumption on, has become preferred for large thermal power generating units. Research and improvement of indirect cooling automatic control technology, strengthen the indirect air cooling system antifreeze protection, is critical for improving the running stability and security. This paper introduced...
For the purpose of making the waiting time less and production capacity more in “the mode of one open ladle” which is in the blast furnace (BF) — basic oxygen furnace (BOF) region, a new method based on queuing theory and material flow simulation(using Witness software) is carried out in this work. The indicators comparisons between single-queue and multi-queues have been made; it could be found that...
This paper presents a study on the Design Of Experiments (DOE)-based parameter optimization technique to adapt to the manufacturing environment changes in robotic force control assembly. Based on a real-world transmission torque converter assembly production process, investigation and analysis are performed in production. An on-pendant robotic assembly parameter optimization tool is introduced. When...
Sequential Minimal Optimization (SMO) algorithm is very effective when solving large-scale support vector machine (SVM). The existing algorithms need to judge which quadrant the 4 Lagrange multipliers lie in, complicating its implementation. In addition, the existing algorithms all assume that the kernel functions are positive definite or positive semidefinite, limiting their applications. Having...
A challenge for automating mechanical assembly is that cumulative uncertainties typically exceed part clearances, which makes conventional position-based tactics unsuccessful. Force-based assembly strategies offer a potential solution, although such methods are still poorly understood and can be difficult to program. In this paper, we describe a force-based robotic assembly approach that uses fixed...
A project usually has several or more combination schemes of implementation. Different schemes have different advantages and disadvantages because the risk elements exist in the project implementation. How to judge the advantages and disadvantages of the schemes is very important for the project management. This paper presents a method to use the tree structure chart to make the combination schemes...
This paper presents on-pendant assembly parameter optimization with an industrial robot with force control. ABB industrial robot and its latest controller IRC5 is used as the host platform of the development; design of experiment (DOE) method is used as an optimization tool; and automatic transmission torque converter assembly is used as a test case. All tasks such as data manipulation, data analysis,...
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