The Application of Genetic Algorithm in Layout Design of Oil Rig Driller Console


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In order to avoid the shortage of subjective judgment, carrying on the human-machine interface layout scientifically, this paper put forward that the genetic algorithm was applied to the layout design of oil rig driller console. Using real number coding, combining with human-machine interface layout principles to establish the mathematical model, genetic algorithm was adopted to optimize the layout. Developed an intelligent layout optimization system on basis of VB, and took the layout scheme formation process of the manipulators which on the right hand area of driller console as an example to explain the system. Theory and example analysis showed that the algorithm could generate the layout scheme quickly and effectively, solved the problem that layout principles were difficult to be quantize in the traditional layout design and the quality of layout was hard to judge, and to a certain extent, has realized automatic layout.



Edited by:

Yuhang Yang, Xilong Qu, Yiping Luo and Aimin Yang






B. Chen and L. Deng, "The Application of Genetic Algorithm in Layout Design of Oil Rig Driller Console", Advanced Materials Research, Vol. 216, pp. 171-175, 2011

Online since:

March 2011





[1] B. Chen, X.W. Zhang, D.Y. Li, J.X. Zhang: Simple Discussion on the Problems about Driller Control Systems of Oil Rigs of Our Country (Oil Field Equipment, 2007).

[2] Q. Huang, S.Q. Sun, Y.H. Pan: A Craftwork Layout Algorithm Based on Genetic Algorithm (Journal of Computer-aided Design & Computer Graphics, 2002).

[3] B.X. Ruan, X.H. Shao, in: Industry Design and Ergonomics, edited by Mechanical Industry Publishing House (2005).

[4] Z.B. Liu, S.J. Dong, H.W. Yao: Research on Support Decision System (SDS) of Optimum Matching of Man-Machine Interface in Mechanical Systems (Journal of Beijing University of Aeronautics and Astronautics, 2000).

[5] G.N. Xun, R.W. Cheng, in: Genetic algorithm and engineering design, edited by Science Publishing House (2000).

[6] G. Lu, B.Q. Li: Genetic Algorithm's Programming Realization Based on VB and Its Application (The Computer and Modernization, 2002).

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