Title :
Two Methods for the Optimization of Subway Tunnel Profiles
Author :
Ruelland, Frangois ; Al-Haddad, Kamal
Author_Institution :
Societe de Transp. de Montreal, Que.
Abstract :
This paper describes the energy minimization process of the longitudinal profile between two metro station platforms. Two algorithms are discussed: the genetic algorithms (GAs) with the profile coding process, and the Hook and Jeeves (H&J) direct search algorithm. GAs is a novelty for subway tunnel profile optimization. The results show that GAs perform better than the H&J algorithm
Keywords :
civil engineering computing; genetic algorithms; search problems; tunnels; direct search algorithm; energy minimization process; genetic algorithm; metro station platform; subway tunnel profile optimization; Biological cells; Computational modeling; Costs; Genetic algorithms; Gravity; Light rail systems; Minimization methods; Optimization methods; Portable computers; Search methods; Energy minimization; Genetic algorithm; Hook and Jeeves direct search; subway tunnels;
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
DOI :
10.1109/CCECE.2006.277707
