In Control System Engineering concerned here is Computational Intelligence (CI). Evolutionary algorithms (EA) fall under the domain of Computational Intelligence and it is dominating other categories of optimization techniques and gaining more research interest. Optimization techniques, having reached a degree of maturity in recent years, are being used in a wide spectrum of industries, including aerospace, automotive, chemical, electrical, construction, and manufacturing industries. With rapidly advancing computer technology, computers are becoming more powerful, and correspondingly, the size and the complexity of the problems that can be solved using optimization techniques are also increasing. To find out the parameter(s) value for making systems more efficient, fast, and reliable the need for robust, flexible, and improved optimization algorithms is increasing day by day. In this book, we have concentrated on optimizing real-world numerical optimization problems. Detailed analyses of some selected real-world optimization problems have been done.

Dr. Joydeep Dutta completed his Ph.D degree from the Department of Computer Science and Engineering, NIT Durgapur in 2020. He has several high impact SCI indexed publications like Neural Computing and Applications, Transport etc. Mr Dutta acted as a reviewer of different reputed journals and conferences.