Computational Intelligence: Theory and Applications - Hardcover

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T. Ananth Kumar, PhD, is an associate professor at the Indo French Educational Trust College of Engineering, Anna University, Chennai, India. He has presented papers in various national and international conferences and journals, as well as many book chapters. Additionally, he is a lifetime member of the Indian Society of Technical Education and has many patents spanning across various domains.

E. Golden Julie, PhD, is currently working as a Senior Assistant Professor in the department of Computer Science and Engineering, Anna University, Tirunelveli, India. She has more than 12 years of experience in teaching, has published more than 34 papers in various international journals, presented more than 20 papers in both national and international conferences, and written ten book chapters. She has given many guest lectures on various subjects such as multicore architecture, operating systems, and compiler design in premier institutions. Additionally, she is an active lifetime member of the Indian Society of Technical Education.

Venkata Raghuveer Burugadda is a senior solution architect and technology leader with over 16 years of experience across the United States and India in product delivery and technology transformation, driving growth for a global network in remittances and payments. He modernized a point of sale solution with new and organizational common architecture to deliver a fast and efficient user experience and allow easy integration of new capabilities through the adoption of cloud migration, devops, test driven principles, and user-centric solutions.

Abhishek Kumar, PhD, is currently working as an associate professor and the assistant director of the Computer Science & Engineering Department at Chandigarh University, Punjab, India. He has more than 11 years of teaching experience and has been a session chair and keynote speaker for many international conferences and webinars. In addition to his experience, he has more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences, has authored or co-authored seven books published, and edited an additional 27 books.

Puneet Kumar, PhD, is a professor and the head of the Department of Computer Science & Engineering at the University Institute of Engineering, Chandigarh University, Mohali, India. He has more than 18 years of teaching, research, and industrial experience and has published various research papers and articles in national and international journals, many of which are widely cited across the world. He is also the recipient of several software copyrights from the Ministry of Human Resource and Development, Government of India.

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This book provides a comprehensive exploration of computational intelligence techniques and their applications, offering valuable insights into advanced information processing, machine learning concepts, and their impact on agile manufacturing systems.

Computational Intelligence presents a new concept for advanced information processing. Computational Intelligence (CI) is the principle, architecture, implementation, and growth of machine learning concepts that are physiologically and semantically inspired. Computational Intelligence methods aim to develop an approach to evaluating and creating flexible processing of human information, such as sensing, understanding, learning, recognizing, and thinking. The Artificial Neural Network simulates the human nervous system's physiological characteristics and has been implemented numerically for non-linear mapping. Fuzzy Logic Systems simulate the human brain's psychological characteristics and have been used for linguistic translation through membership functions and bioinformatics. The Genetic Algorithm simulates computer evolution and has been applied to solve problems with optimization algorithms for improvements in diagnostic and treatment technologies for various diseases. To expand the agility and learning capacity of manufacturing systems, these methods play essential roles. This book will express the computer vision techniques that make manufacturing systems more flexible, efficient, robust, adaptive, and productive by examining many applications and research into computational intelligence techniques concerning the main problems in design, making plans, and manufacturing goods in agile manufacturing systems.