Evolutionary Algorithms and Fuzzy Systems for Enabling Smart Technologies across Industries

Smart technology have end up an increasing number of vital in today’s rapidly evolving generation panorama. Automation, records-pushed decision-making, and streamlined operations are all being revolutionized by means of the usage of clever era. However, there are some of boundaries that save you their effective deployment, which include as converting conditions, complicated device interactions, and the requirement for instantaneous flexibility. Fuzzy Logic Control for Smart Technology Optimization (FLC-STO) is a way that makes use of the complementary nature of Evolutionary Algorithms and Fuzzy Systems (EA-FS) to achieve optimization in smart era. FLC-STO is a dynamic and adaptive technique for optimizing smart generation for maximum performance over a great form of situations. FLC-STO has proven to be powerful via simulation evaluation in optimizing smart generation in practical settings. It demonstrates how the proposed method works in workout, demonstrating how common performance, performance, and flexibility are all improved in the face of dynamic surroundings and complex interactions. The FLC-STO method gives a effective framework for permitting and optimizing clever generation throughout industries due to its fusion of Evolutionary Algorithms and Fuzzy Systems. The studies presented here allows to enhance clever technology and encourage their fashionable reputation with the aid of addressing the difficulties confronted with the aid of converting contexts, complex gadget interconnections, and the need for actual-time variation.