Evolutionary Computing

Evolutionary computing is a significant field of study for adaptation and optimization. The approach actually originated from the Darwin concept of natural selection, also known as the survival of the fittest. Evolutionary computing has seen a significant increase in both theoretical and industrial applications over the last decade. This book provides an overview of some recent advances in evolutionary computation. It focuses on evolutionary computing, which is viewed as one of the most promising paradigms of computational intelligence. It covers a wide range of topics in optimization, learning and design using evolutionary approaches and techniques, and theoretical results in the computational time complexity of evolutionary algorithms.  

Print ISBN: 9781682518359 | $160 | 2022 | Hardcover

Subject: Computer and Information Science

Editor: Luciana Rocha

About the editor: Luciana Rocha, PhD, is currently an Associate Professor in the Department of Computer Science and Numerical Analysis. She has written several research papers and articles on algorithm development, optimization and metaheuristics, applications of soft computing methods in engineering, artificial neural networks, and computational solid mechanics.