This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.
discusses the overview of intelligent systems and soft computing. This demonstrates the scope of their application in real-world problems with complex systems. It highlights the historical development and how it was polarized in different domains. This chapter addresses different software tools that enable decision makers to draw on the knowledge and decision processes of experts in making decisions.