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Numerical and Evolutionary Optimization 2021

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...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2023
Soggetti:
distributor’s pallet loading problem
heuristics
bin packing
real-life instances
emergency medical services
emergency medicine
decision-support system
pre-hospital emergency care
ambulance response time
machine learning
geo-indistinguishability
differential privacy
privacy-preserving machine learning
input perturbation
estimation of distribution algorithm
Mallows model
moth-flame algorithm
job shop scheduling problem
quay crane scheduling problem
first-passage time
Markov chain
queueing theory
simulation
OR in health services
KPI
wind energy
wind turbine blades
erosion
modal analysis
aerodynamic analysis
AutoML
feature selection
fault severity assessment
gearboxes
XGBoost classifiers
autism
attention
ASD
learning activities
EEG
BCI
features
artificial intelligence
Grouping Genetic Algorithm
variable decomposition
Large-Scale Constrained Optimization
DVT
early diagnosis
machine-learning
smart system
embedded system
edge computing
edge device
OpenFOAM
CFD
ANFIS
ANFIS (GA)
ANFIS (PSO)
ANFIS (FFA)
nonlinear programming
largest small polygons (LSP)
{LSP(n)} model-class
optimal area sequence {A(n)}
revised LSP model
mathematica model development environment
IPOPT solver engine
numerical optimization results and regression model for estimating {A(n)}
n/a
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
thema EDItEUR::U Computing and Information Technology::UY Computer science
Accesso online:ONIX_20230714_9783036579047_70
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Riassunto: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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