- author = "Martin Montes Rivera and Marving Omar Aguilar Justo and Alberto Ochoa-Zezzatti",
- title = "Equations for Describing Behavior Tables in Thermodynamics Using Genetic Programming: Synthesizing the Saturated Water and Steam Table",
- journal = "Research in Computing Science",
- year = "2016",
- volume = "122",
- pages = "9--23",
- keywords = "genetic algorithms, genetic programming, Synthesising Tables, Saturated Water and Steam Tables",
- ISSN = "1870-4069",
-
URL = "
https://rcs.cic.ipn.mx/2016_122/Equations%20for%20Describing%20Behavior%20Tables%20in%20Thermodynamics%20Using%20Genetic%20Programming.pdf",
-
URL = "
https://rcs.cic.ipn.mx/2016_122/Equations%20for%20Describing%20Behavior%20Tables%20in%20Thermodynamics%20Using%20Genetic%20Programming.html",
- timestamp = "Thu, 12 Mar 2020 00:00:00 +0100",
-
biburl = "https://dblp.org/rec/journals/rcs/MontesJO16.bib",
- bibsource = "dblp computer science bibliography, https://dblp.org",
- size = "15 pages",
- abstract = "There are several tables with important data used in the calculus of different processes like machining tables, friction tables and thermodynamics processes tables, or as it is explored in this paper, the description of saturated water and steam table. We propose the generation of equations for describing the entire behavior of numerical values in a table using Genetic Programming (GP), when table data describes the variable behavior of a dependent function. This obtained equations simplify the calculus process without requiring several tables and allowing to work when tables are not available for a desired value of an independent variable, a common situation in thermodynamics. In this case it is tested the proposed algorithm for synthesising the saturated water and steam table.",
-
notes = "Advances in Hybrid Intelligent
Systems
https://rcs.cic.ipn.mx/",
