Improved Genetic Algorithms Based Optimal Design of The Shuangji River Aqueduct

Abstract:

The simple genetic algorithm (SGA) is taken as the global search method, and the traditional direct search method for mixed-discrete variables as the local search method. The improved (hybrid) genetic algorithm (IGA) is obtained by improving the SGA. And through the introduction of penalty constraints, the problem dealing with the constraints in GA is successfully resolved. A mathematical model for structural optimization of aqueduct is established, and computer software is developed for structural optimization of large-scale aqueduct based on IGA. Using this program, the Shuangji River aqueduct is optimized and Rectangle-sectioned aqueduct design plan is obtained. Compared with the original design plan, optimal design is very economical and was adopted by Design Institute.

• Periodical: Advanced Materials Research (Volumes 201-203)
• Pages: 1288-1291
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.201-203.1288
• Online since: February 2011
• Authors: Xin Li Bai, Wei Yu, Dan Fei Wang, Yuan Yuan Fan
• Keywords: Aqueduct, Improved Genetic Algorithm (IGA), Penalty Constraint, Rectangle- Section, Structural Optimization Design

References

[1] X. L. Bai and G. R. Liu, Water Conservancy & Water Transport Engineering, Vol. 26 (2005), p.59 (In Chinese).

[2] X. M. Zhao and X. L. Bai, Port Engineering Technology, Vol. 31 (2002), p.22 (In Chinese).

[3] X. L. Bai, at el: Research and application of key technologies of the construction of South-to- North water transfer project: research reports on dynamic tracking, temperature loads and dynamic analysis of large-scale aqueduct (North China University of Water Resources and Electric Power, 2007) (In Chinese).

[4] X. L. Bai, at el: Structural Optimal Design (Yellow River Press, 2008) (In Chinese).

[5] H. Z. Zhu, at el: Aqueducts. (China Water Conservancy and Hydropower Press, 2005) (In Chinese).