relation: https://khub.utp.edu.my/scholars/16588/ title: PSO-GAScript: A Domain-specific Scripting Language for Meta-heuristics Algorithm creator: Masrom, S. creator: Abd Rahman, A.S. creator: Omar, N. creator: Rapaâ��ee, S. description: 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. © International Journal of Emerging Technology and Advanced Engineering.All right reserved. publisher: IJETAE Publication House date: 2022 type: Article type: PeerReviewed identifier: Masrom, S. and Abd Rahman, A.S. and Omar, N. and Rapaâ��ee, S. (2022) PSO-GAScript: A Domain-specific Scripting Language for Meta-heuristics Algorithm. International Journal of Emerging Technology and Advanced Engineering, 12 (7). pp. 86-93. ISSN 22502459 relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135456434&doi=10.46338%2fijetae0722_09&partnerID=40&md5=c3e0d45808b4dc20e779acb1aa1beca0 relation: 10.46338/ijetae0722₀₉ identifier: 10.46338/ijetae0722₀₉