ABSTRACT
In recent times, both sustainability and computational intelligence have garnered significant attention from colourful diligence and academic circles. This exploration focuses on the progress and advancement of computational intelligence within the realm of sustainability, using a systematic literature review. This study aims to give a comprehensive understanding of how computational intelligence can be applied to address sustainability challenges similar to sustainable structure, resource operation, and environmental protection. The review follows a scrupulous methodology to identify and assay a wide range of peer-reviewed papers published between 2013 and 2023, banning book chapters, conference papers, reports, and white papers. It explores the arising geography of computational intelligence tools, including fuzzy algorithms, inheritable algorithms, and neural networks, in the environment of sustainable development. The analysis encompasses crucial operations like climate modelling, waste operation, and renewable energy optimization. This study outlines the benefactions of former publications, highlights current trends, and identifies unborn exploration openings for both assiduity and academia. The findings reveal a growing number of publications exploring the part of computational intelligence in reshaping sustainable practices. Likewise, this demonstrates the necessity of blending computer intelligence with sustainable development. The significance of this SLR lies in its capability to exfoliate light on how computational intelligence has revolutionized the objects of sustainable development. As a result, this study holds great significance for individualities in positions of policy timber, interpreters, professionals in colourful diligence, academics, and experimenters.
