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. © 2010 Springer-Verlag.
CITATION STYLE
Torrecilla-Pinero, F., Torrecilla-Pinero, J. A., Gómez-Pulido, J. A., Vega-Rodríguez, M. A., & Sánchez-Pérez, J. M. (2010). Soft computing, genetic algorithms and engineering problems: An example of application to minimize a cantilever wall cost. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6098 LNAI, pp. 566–575). https://doi.org/10.1007/978-3-642-13033-5_58
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