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Numerical and Evolutionary Optimization 2020

This book was established after the 8th 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 th...

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Bibliographic Details
Main Author: Quiroz, Marcela
Other Authors: Schütze, Oliver, Ruiz, Juan Gabriel, de la Fraga, Luis Gerardo
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Robust Optimization
Computational Fluid Dynamics
Fully Linear Models
Continuation
Radial Basis Functions
Trapezoidal Fuzzy Numbers
Metropolis
Pipe Breaking
Kriging Method
Pseudo Random Number Generator
Forecasting
Decision Maker Profile
Mathematics & Science / Bicssc
Jssp
Hybrid Simulated Annealing
Trust Region Methods
Cognitive Tasks
Convolutional Neural Network
Multiobjective Optimization
Deep Learning
Usability Evaluation
Hybrid Evolutionary Approach
Pareto Tracer
Surrogate Modeling
Project Portfolio Selection Problem
Lstm
Multi-objective Evolutionary Optimization
Protein Structure Prediction
Root
Drainage Rehabilitation
Linear Programming
Multi-objective Portfolio Optimization Problem
Cmosa
Pvt Variations
Fp16
Covid-19
Outranking Relationships
Multi-objective Optimization
Cmos Differential Pair
Density Estimators
Structural Biology
Evolutionary Algorithms
Steady State Algorithms
Differential Evolution
Cmota
Profile Assessment
Finite Volume Method
Constraint Handling
Research & Information: General / Bicssc
Region Of Interest Approximation
Multiobjective Descent
Decision-making Process
Decision Making Process
Adaptive Algorithm
Base Excitation
Template-based Modeling
Monte Carlo Analysis
Ensemble Method
Liquid Storage Tanks
Overflooding
Incorporation Of Preferences
Optimization Using Preferences
Artificial Intelligence
Multi-gene Genetic Programming
Vco
Chaotic Perturbation
Fixed Point Arithmetic
Optimization Framework
Optimization
Energy Central
Multi-criteria Classification
Derivative-free Optimization
Recommender System
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This book was established after the 8th 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 (364 p.)
ISBN:9783036516707
books978-3-0365-1670-7
9783036516691

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