Description
Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented.
Exploring Critical Approaches of Evolutionary Computation is a vital scholarly publication that explores the latest developments, methods, approaches, and applications of evolutionary models in a variety of fields. It also emphasizes evolutionary models of computation such as genetic algorithms, evolutionary strategies, classifier systems, evolutionary programming, genetic programming, and related fields such as swarm intelligence and other evolutionary computation techniques. Highlighting a range of pertinent topics such as neural networks, data mining, and data analytics, this book is designed for IT developers, IT theorists, computer engineers, researchers, practitioners, and upper-level students seeking current research on enhanced information exchange methods and practical aspects of computational systems.
Author's/Editor's Biography
Muhammad Sarfraz (Ed.)
Muhammad Sarfraz is a Professor and Director of MSIT in the Department of Information Science, Kuwait University, Kuwait. His research interests include computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, intelligent systems, information technology, and information systems. Prof. Sarfraz has been a keynote/invited speaker at various platforms around the globe. He has advised more than 85 students for their MSc and PhD theses. He has published more than 375 publications as books, journals, and conference papers. Prof. Sarfraz is a member of various professional societies. He is the Chair and a member of the international advisory committees and organizing committees of various international conferences. He is also Editor-in-Chief and Editor of various international journals.