Smart cities have become the buzzword today, and it offers various smart services such as building automation systems, intelligent grids, smart transportation, and many more. With the advent of the Internet of Things (IoT), smart cities have become a reality in many parts of the world. The systems that operate and control smart cities typically function in an isolated manner with no connectivity to the others. At this point, there is a probability that one system’s functionality can potentially impact the other. For instance, drainage and flood control systems can affect both traffic management and emergency management system functionalities. The use of soft computing assists in effectively dealing with real-world uncertainties associated with smart cities. It offers robust solutions to smart cities through the utilization of approximate, partial, and uncertain data. This editorial entitled “soft computing for smart city” is a collection of 14 research articles that represent the efficient use of soft computing solutions for smart city paradigms.