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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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Bibliographic Details
Main Author: Quiroz, Marcela
Other Authors: de la Fraga, Luis Gerardo, Lara, Adriana, Trujillo, Leonardo
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
Queueing Theory
Job Shop Scheduling Problem
Bin Packing
Grouping Genetic Algorithm
Mathematica Model Development Environment
Automl
Geo-indistinguishability
Differential Privacy
N/a
Edge Device
Asd
Emergency Medicine
First-passage Time
Decision-support System
Feature Selection
Features
Markov Chain
Anfis (ffa)
Anfis (pso)
Optimal Area Sequence {a(n)}
Largest Small Polygons (lsp)
Emergency Medical Services
Ambulance Response Time
Estimation Of Distribution Algorithm
Simulation
Moth-flame Algorithm
Bci
Quay Crane Scheduling Problem
Anfis (ga)
Openfoam
Real-life Instances
Input Perturbation
Variable Decomposition
Information Technology Industries / Bicssc
Privacy-preserving Machine Learning
Large-scale Constrained Optimization
Mallows Model
Wind Turbine Blades
{lsp(n)} Model-class
Computer Science / Bicssc
Machine-learning
Xgboost Classifiers
Eeg
Smart System
Wind Energy
Early Diagnosis
Artificial Intelligence
Dvt
Autism
Edge Computing
Revised Lsp Model
Pre-hospital Emergency Care
Aerodynamic Analysis
Erosion
Distributor's Pallet Loading Problem
Heuristics
Learning Activities
Kpi
Modal Analysis
Nonlinear Programming
Fault Severity Assessment
Gearboxes
Embedded System
Ipopt Solver Engine
Anfis
Numerical Optimization Results And Regression Model For Estimating {a(n)}
Cfd
Or In Health Services
Attention
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (214 p.)
ISBN:9783036579054
books978-3-0365-7905-4
9783036579047

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