The evolution of equation from hydraulic data, Part I: Theory

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  author =       "Vladan Babovic and Michael B. Abbott",
  title =        "The evolution of equation from hydraulic data, Part
                 {I}: Theory",
  journal =      "Journal of Hydraulic Research",
  year =         "1997",
  volume =       "35",
  number =       "3",
  pages =        "397--410",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1080/00221689709498420",
  size =         "14 pages",
  abstract =     "Even as hydroinformatics continues to elaborate more
                 advanced operational tools, languages and environments
                 for engineering and management practice, it necessarily
                 also promotes a number of concepts and methodologies
                 that are eminently applicable within the more
                 traditional areas of hydraulic research. Among the many
                 new possibilities thereby introduced, that of evolving
                 equations from hydraulic data using evolutionary
                 algorithms has a particularly wide range of
                 applications. The present paper is in two parts, the
                 first of which introduces the subject and outlines its
                 theory, while the second is given over to four
                 representative applications and to some of the most
                 immediate lessons that may be drawn from these. The
                 first of the applications is derived from a hydrologie
                 model but provides equations with purely hydraulic
                 interpretations. The second, taken from sediment
                 transport studies, raises the question of ambiguity in
                 the identification of 'thresholds' in physical
                 processes. It also provides a means for analysing the
                 significance of variables and indicates the need, or
                 otherwise, for introducing further variables. A third
                 example, based upon physical observations of salt water
                 intrusion in estuaries, introduces the application of
                 the present methods to accelerating prediction
                 processes, while the fourth example extends this kind
                 of application to cover numerically generated data, in
                 this case appertaining to the case of flow resistance
                 in the presence of vegetation.",
  notes =        "See also \cite{babovic:1997:eehd2}",

Genetic Programming entries for Vladan Babovic Michael B Abbott