Numerical and Evolutionary Optimization 2021
- ISBN 978-3-0365-7904-7 (Hardback)
- ISBN 978-3-0365-7905-4 (PDF)
This is a Reprint of the Special Issue Numerical and Evolutionary Optimization 2021 that was published in
This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.