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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.