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Numerical and Evolutionary Optimization 2021
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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.
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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