›› 2006, Vol. 27 ›› Issue (8): 1433-1436.

• Fundamental Theroy and Experimental Research • Previous Articles    

Realization of optimizing supporting structure in deep excavation based on adaptive hybrid genetic algorithm

WANG Jun-sheng1, XIA Yuan-you1, SHU Huai-zhu2   

  1. 1.Civil Engineering and Architecture of Wuhan University of Technology, Wuhan 430070, China 2.Civil Engineering Department of Yiwu Industrial and Commercial College, Yiwu 322000, China
  • Received:2004-10-22 Online:2006-08-10 Published:2013-11-26

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Abstract: Supporting structure of deep excavation is optimized using genetic algorithm(GA); and limitation of GA such as poor local search ability and premature is largely enhanced. Then crossover operator and mutation operator is improved while considering the adaptive method; also the combination of hill-climbing with GA enables better local search ability in post-evolution. Mathematic model of deep excavation supporting structure is discussed; according to which a GA software system is developed for deep excavation retaining system. An engineering example is studied; and the results show the validity of the amelioration.

Key words: deep excavation, adaptive GA, hill-climbing method, optimization design

CLC Number: 

  • TU 470
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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