Paper Info
Title
Soft computing, genetic algorithms and engineering problems: an example of application to minimize a cantilever wall cost
Abstract
The present work offers an overview about the possibility of using a genetic algorithm as an optimization tool for minimizing the cost of a problem in the civil engineering area. Particularly, it goes into the efficiency aspects of the method. In the context of the used operators by applying the method, a new cross-over type operator is set out, and its efficiency on its application over a relatively simple problem is studied: cost minimization from a cantilever wall of reinforced concrete.
Year
DOI
Venue
2010
10.1007/978-3-642-13033-5_58
IEA/AIE (3)
Keywords
Field
DocType
soft computing,genetic algorithm,engineering problem,civil engineering area,optimization tool,cantilever wall,cantilever wall cost,present work,new cross-over type operator,cost minimization,efficiency aspect,used operator,simple problem,genetic algorithms,optimization,civil engineering
Reinforced concrete,Mathematical optimization,Cantilever,Computer science,Minification,Operator (computer programming),Soft computing,Genetic algorithm
Conference
Volume
ISSN
ISBN
6098
0302-9743
3-642-13032-1
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Fernando Torrecilla-Pinero100.68
Jesús A. Torrecilla-Pinero200.68
Juan A. Gómez-Pulido320221.36
Miguel A. Vega-Rodríguez4741113.05
Juan Manuel Sánchez-Pérez527830.84