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Details

Autor(en) / Beteiligte
Titel
Numerical and Evolutionary Optimization
Ort / Verlag
MDPI - Multidisciplinary Digital Publishing Institute
Erscheinungsjahr
2019
Link zum Volltext
Beschreibungen/Notizen
  • Open Access
  • This book was established after the 6th 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
  • eng
Sprache
Identifikatoren
ISBN: 9783039218165, 9783039218172
DOI: 10.3390/books978-3-03921-817-2
Titel-ID: 990365167020206441
Format
1 electronic resource (230 pages)
Schlagworte
Technology (General), Engineering (General). Civil engineering (General)