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Numerical and Evolutionary Optimization

This book was established after the 6th 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: Lara, Adriana
Other Authors: Quiroz, Marcela, Schütze, Oliver, Mezura-Montes, Efrén
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:
Pareto Front
Metric Measure Spaces
Genetic Algorithm
Power Means
Evolutionary Computation
Rubber
Bloat
U-shaped Assembly Line Balancing
Iv-optimality Criterion
Modify Differential Evolution Algorithm
Model Order Reduction
Local Search
Multiobjective Optimization
Single Component Constraints
Flexible Job Shop Scheduling Problem
History Of Engineering & Technology / Bicssc
Economic Crops
Differential Evolution Algorithm
Local Search And Jump Search
Optimal Control
Numerical Simulations
Surrogate-based Optimization
Multi-objective Optimization
Model Predictive Control
Neat
Driving Scoring Functions
Improved Differential Evolution Algorithm
Vehicle Routing Problem
Averaged Hausdorff Distance
Shape Morphing
Improvement Differential Evolution Algorithm
Intelligent Transportation Systems
Evolutionary Multi-objective Optimization
Optimal Solutions
Basic Differential Evolution Algorithm
Location Routing Problem
Bulbous Bow
Mixture Experiments
Genetic Programming
Crop Planning
Decision Space Diversity
Driving Events
Evospace
Risky Driving
Open-source Framework
Performance Indicator
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This book was established after the 6th 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-nc-nd/4.0/
Physical Description:1 electronic resource (230 p.)
ISBN:9783039218165
9783039218172
books978-3-03921-817-2

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