@article{scholars16588,
           title = {PSO-GAScript: A Domain-specific Scripting Language for Meta-heuristics Algorithm},
          volume = {12},
            note = {cited By 0},
          number = {7},
             doi = {10.46338/ijetae0722{$_0$}{$_9$}},
       publisher = {IJETAE Publication House},
         journal = {International Journal of Emerging Technology and Advanced Engineering},
           pages = {86--93},
            year = {2022},
          author = {Masrom, S. and Abd Rahman, A. S. and Omar, N. and Rapa{\^a}??ee, S.},
            issn = {22502459},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135456434&doi=10.46338\%2fijetae0722\%5f09&partnerID=40&md5=c3e0d45808b4dc20e779acb1aa1beca0},
        abstract = {PSO-GAScript is a domain-specific scripting language designed to support easy and rapid implementation of meta-heuristics algorithms focused on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The programming language has been developed to allow the hybridization of the two meta-heuristics algorithms. Hybridizations between PSO and GA are proven to be a comprehensive tool for solving different kinds of optimization problems. Moreover, the two algorithms have achieved a remarkable improvement from the adaptation of dynamic parameterization. Nevertheless, implementing the suitable hybrid algorithms is a considerably difficult, which in most cases is time consuming. To the best of our knowledge, the existing tools are not adequately designed to enable users to easily develop the meta-heuristics hybridization of PSO-GA with dynamic parameterizations. This paper presents the fundamental research methodology of domain-specific scripting language from the language design, constructs and evaluations focused on the case of PSO-GA hybridization and dynamic parameterizations. The PSO-GAScript are shown to easily use with minimal number of codes lines and concisely describe the meta-heuristics algorithms in a directly publishable form. {\^A}{\copyright} International Journal of Emerging Technology and Advanced Engineering.All right reserved.}
}