scholarly journals Multi-Branch Cable Harness Layout Design Based on Genetic Algorithm with Probabilistic Roadmap Method

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Yingfeng Zhao ◽  
Jianhua Liu ◽  
Jiangtao Ma ◽  
Linlin Wu

AbstractCurrent studies on cable harness layouts have mainly focused on cable harness route planning. However, the topological structure of a cable harness is also extremely complex, and the branch structure of the cable harness can affect the route of the cable harness layout. The topological structure design of the cable harness is a key to such a layout. In this paper, a novel multi-branch cable harness layout design method is presented, which unites the probabilistic roadmap method (PRM) and the genetic algorithm. First, the engineering constraints of the cable harness layout are presented. An obstacle-based PRM used to construct non-interference and near to the surface roadmap is then described. In addition, a new genetic algorithm is proposed, and the algorithm structure of which is redesigned. In addition, the operation probability formula related to fitness is proposed to promote the efficiency of the branch structure design of the cable harness. A prototype system of a cable harness layout design was developed based on the method described in this study, and the method is applied to two scenarios to verify that a quality cable harness layout can be efficiently obtained using the proposed method. In summary, the cable harness layout design method described in this study can be used to quickly design a reasonable topological structure of a cable harness and to search for the corresponding routes of such a harness.

2013 ◽  
Vol 2013.23 (0) ◽  
pp. _1407-1_-_1407-8_
Author(s):  
Masato INOUE ◽  
Daisuke ASADA ◽  
Nobuhito KATO ◽  
Nobuyoshi ISHIBAI ◽  
Haruo ISHIKAWS

Author(s):  
Mukul Singhee ◽  
Jonathan F. Holmes ◽  
Janet K. Allen ◽  
Farrokh Mistree

In this paper, a method is proposed to design intelligent systems with the fundamental function of facilitating information flow from the environment and its subsequent integration. We use the Pahl and Beitz systematic design method to tease out the salient requirements for the design of a motion capture system for ergonomic worker safety and training. The current devices employed for this purpose have drawbacks in the form of a need for a controlled environment and a high cost of implementation. A systematic consideration of the requirements for the intended application and ongoing efforts in the Georgia Tech Research Institute led us to consider the platform of the Nintendo Wii™ remote. The system is designed to be inexpensive and usable in any environment with minimum intrusion to the subject. Our example system is based on the custom requirements for a manufacturing environment where workers are at a high risk for repetitive stress injuries. We select appropriate physiological measures and capture the associated data using our designed system. We utilize our adapted method by describing the conceptual design and selection of a novel approach to the mounting of the Nintendo Wii Remote™. In the embodiment design phase, we describe how we determine key parameters for the layout design of the system. The decisions made in the process are verified by the generation of a prototype system that was tested on human subjects.


2020 ◽  
Author(s):  
Kailang Chen ◽  
Hanyu Zhang ◽  
Xin Huang ◽  
Long Chen ◽  
Qi Shi

2020 ◽  
Vol 8 (2) ◽  
pp. 108-124
Author(s):  
Waqed Hammed Hassan ◽  
Zahra H. Attea ◽  
Safaa S. Mohammed

Author(s):  
John F. McGrew

This paper discusses a case study of a design and evaluation of a change management system at a large Telecommunications Corporation. The design and evaluation were done using the facilitated genetic algorithm (a parallel design method) and user decision style analysis. During the facilitated genetic algorithm the design team followed the procedure of the genetic algorithm. Usability was evaluated by applying user decision style analysis to the designed system. The design is compared with an existing system and with one designed by an analyst. The change management system designed by the facilitated genetic algorithm took less time to design and decision style analysis indicated it would be easier to use than the other two systems.


2021 ◽  
Vol 1941 (1) ◽  
pp. 012012
Author(s):  
Jie Zhang ◽  
Ningzhou Li ◽  
Danyu Zhang ◽  
Xiaojuan Wei ◽  
Xiaojuan Zhang

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