Explore
Numerical and Evolutionary Optimization 2021
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 23 times via unglue.it ebook links.
- 23 - pdf (CC BY) at Unglue.it.
Keywords
- aerodynamic analysis
- ambulance response time
- ANFIS
- ANFIS (FFA)
- ANFIS (GA)
- ANFIS (PSO)
- artificial intelligence
- ASD
- Attention
- Autism
- AutoML
- BCI
- bin packing
- CFD
- Computer science
- Computing & information technology
- decision-support system
- Differential Privacy
- distributor’s pallet loading problem
- DVT
- Early Diagnosis
- Economics, finance, business & management
- edge computing
- edge device
- EEG
- embedded system
- Emergency Medical Services
- Emergency Medicine
- Erosion
- estimation of distribution algorithm
- fault severity assessment
- feature selection
- Features
- first-passage time
- gearboxes
- geo-indistinguishability
- grouping genetic algorithm
- heuristics
- Industry & industrial studies
- Information technology industries
- input perturbation
- IPOPT solver engine
- job shop scheduling problem
- KPI
- Large-Scale Constrained Optimization
- largest small polygons (LSP)
- learning activities
- Machine learning
- machine-learning
- Mallows model
- Markov chain
- mathematica model development environment
- Media, information & communication industries
- modal analysis
- moth-flame algorithm
- n/a
- nonlinear programming
- numerical optimization results and regression model for estimating {A(n)}
- OpenFOAM
- optimal area sequence {A(n)}
- OR in health services
- pre-hospital emergency care
- privacy-preserving machine learning
- quay crane scheduling problem
- Queueing Theory
- real-life instances
- revised LSP model
- simulation
- smart system
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- variable decomposition
- Wind energy
- wind turbine blades
- XGBoost classifiers
- {LSP(n)} model-class
Links
DOI: 10.3390/books978-3-0365-7905-4Editions