Taxonomy of Diverse Soft Computing Techniques for Various Applications

Soft computing techniques have made significant contributions to modern life by solving a broad category of problems with effective answers. Even though optimization problems can be extremely complicated, they are typically dealt with and solved by combining the practitioner's many abilitiess, like instinctive behavior, prior knowledge, logical reasoning, mathematical elaboration, and physical sensation. When applied within the "soft computing" paradigm, heuristics theories and algorithms can offer a methodical and reasonable means of addressing optimization issues. In this work, we offer A comprehensive description of the most recent soft computing applications in a variety of fields. To address various societal issues and their existing solutions, a comprehensive overview of various methods for soft computing, such as neural networks, swarm intelligence, evolutionary computing, fuzzy computing, and their hybrid combinations, is presented.