eprintid: 16588 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/01/65/88 datestamp: 2023-12-19 03:23:06 lastmod: 2023-12-19 03:23:06 status_changed: 2023-12-19 03:06:31 type: article metadata_visibility: show creators_name: Masrom, S. creators_name: Abd Rahman, A.S. creators_name: Omar, N. creators_name: Rapaâ��ee, S. title: PSO-GAScript: A Domain-specific Scripting Language for Meta-heuristics Algorithm ispublished: pub note: cited By 0 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. © International Journal of Emerging Technology and Advanced Engineering.All right reserved. date: 2022 publisher: IJETAE Publication House official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135456434&doi=10.46338%2fijetae0722_09&partnerID=40&md5=c3e0d45808b4dc20e779acb1aa1beca0 id_number: 10.46338/ijetae0722₀₉ full_text_status: none publication: International Journal of Emerging Technology and Advanced Engineering volume: 12 number: 7 pagerange: 86-93 refereed: TRUE issn: 22502459 citation: 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