@article{scholars4451,
             doi = {10.4028/www.scientific.net/AMR.845.631},
          volume = {845},
            note = {cited By 0; Conference of 1st International Materials, Industrial, and Manufacturing Engineering Conference, MIMEC 2013 ; Conference Date: 4 December 2013 Through 6 December 2013; Conference Code:101778},
           title = {Size optimization using normalized radial basis function and bat algorithm},
         address = {Johor Bahru},
            year = {2014},
           pages = {631--636},
         journal = {Advanced Materials Research},
            issn = {10226680},
          author = {Lemma, T. A. and Fakhruldin, M. H.},
            isbn = {9783037859360},
        keywords = {Ansys workbenches; Bat algorithms; Complex problems; Latin hypercube sampling; Mechanical parts; Normalized radial basis functions; Radial basis functions; Size optimization, Algorithms; Complex networks; Computer aided design; Industrial engineering; Industrial research; Optimization; Radial basis function networks, Loading},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891524384&doi=10.4028\%2fwww.scientific.net\%2fAMR.845.631&partnerID=40&md5=246f318b5d70f350bdbaf51c8ebf6314},
        abstract = {This paper is intended to demonstrate the use of normalized radial basis function (NRBF) network and Bat Algorithm (BA) for size optimization of a mechanical part under static loading. The data needed for developing the NRBF model is generated simulating a parameterized CAD model in ANSYS Workbench 14.5. Plausible input data for the CAD model is created using Latin Hypercube Sampling (LHS) method. A torque arm is considered to proof the concept. The comparison between the result obtained from the proposed method and the solution from ANSYS Workbench itself shows that, the NRBF-BA model is indeed effective in providing a reasonable solution for a moderately complex problem. {\^A}{\copyright} (2014) Trans Tech Publications, Switzerland.}
}