Application of genetic algorithm to bridge construction management

Author

Natsuaki, Y. ; Furuta, H. ; Mukandai, S. ; Yasuda, K.

Author_Institution

Bridge Design Div., Katayama Stratech Corp., Osaka, Japan

fYear

1995

Firstpage

105

Lastpage

108

Abstract

Genetic algorithms (GA) have attracted attention in recent years as a method of solving combinatorial optimization problems. This research is an application of these algorithms to the problem of determining the laying sequence for a continuous girder reinforced concrete floor system. If the number of design variables and the number of combinations are large, it is often impossible to obtain a solution with a simple GA. In this research, we applied GA to a 3-span continuous girder composed of 33 panels, and improved the GA operators. As a result were able to obtain a practical solution

Keywords

building; civil engineering computing; combinatorial mathematics; concrete; genetic algorithms; management; 3-span continuous girder; bridge construction management; combinations; combinatorial optimization problems; continuous girder reinforced concrete floor system; design variables; genetic algorithm; genetic algorithm operators; laying sequence; panels; Algorithm design and analysis; Bridges; Concrete; Design optimization; Floors; Genetic algorithms; Informatics; Optimization methods; Structural beams; Tensile stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on

Conference_Location

College Park, MD

Print_ISBN

0-8186-7126-2

Type

conf

DOI

10.1109/ISUMA.1995.527677

Filename

527677