Front-end compiler MyDSL improves hybrid algorithms in various domains, suggesting enhanced accessibility for users.
The effectiveness of metaheuristic (MH) algorithms in addressing problems in a variety of domains has been shown in numerous studies. There are several technical obstacles to the creation and implementation of hybrid algorithms, such as a high learning curve, the need for programming knowledge, and a lack of user-friendly platforms. In this research, a texture language front-end compiler specifically designed for the MHs domain was proposed. The proposed language, called MyDSL, was developed using Java and the Xtext platform. It offers a flexible, user-friendly approach to creating hybrid algorithms with interactive fine-tuning capabilities and high-level abstraction instructions to assist both inexperienced and seasoned programmers in achieving learning and sustainable development goals, in addition to providing functions like syntax highlighting, auto-completion, and error checking. The paper provided a detailed description of the five subjective analysis-based criteria that were used to analyze and appraise the proposed language.
No takes yet. Share an insight, caveat, or question.
Samar Amil Qassir (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: