Design of novel age-hardenable aluminium alloy using evolutionary computation

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@Article{Dey:2017:JAC,
  author =       "Swati Dey and Partha Dey and Shubhabrata Datta",
  title =        "Design of novel age-hardenable aluminium alloy using
                 evolutionary computation",
  journal =      "Journal of Alloys and Compounds",
  volume =       "704",
  pages =        "373--381",
  year =         "2017",
  ISSN =         "0925-8388",
  DOI =          "doi:10.1016/j.jallcom.2017.02.027",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0925838817304425",
  abstract =     "This work considers the experimental data of tensile
                 properties as a function of composition and processing
                 of the three series of age-hardenable aluminium alloys,
                 i.e. 2XXX, 6XXX and 7XXX, for designing new age
                 hardenable alloy. Computational approach of designing
                 better alloys with desired properties is employed with
                 a target of breaking the barrier of class or series of
                 age hardenable Al alloys. The alloy designed with the
                 help of two evolutionary computation tools, viz.
                 genetic programming and multi-objective genetic
                 algorithm, having better combination of properties,
                 i.e. strength and ductility, is experimentally
                 developed. The designed Al-Zn-Cu-Mg alloy with complex
                 aging characteristics and encouraging tensile
                 properties seem to have the potential for further
                 study.",
  keywords =     "genetic algorithms, genetic programming, Age
                 hardenable aluminium alloys, Mechanical properties,
                 Multi-objective optimization, Experimental trial",
}

Genetic Programming entries for Swati Dey Partha Pratim Dey Shubhabrata Datta

Citations