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Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / edited by António Gaspar-Cunha, Jacques Periaux, Kyriakos C. Giannakoglou, Nicolas R. Gauger, Domenico Quagliarella, David Greiner.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Gaspar-Cunha, António., Editor.
Periaux, Jacques, Editor.
Giannakoglou, Kyriakos C., Editor.
Gauger, Nicolas R., Editor.
Quagliarella, Domenico., Editor.
Greiner, David, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Computational methods in applied sciences 2543-0203 ; 55
Computational Methods in Applied Sciences, 2543-0203 ; 55
Language:
English
Subjects (All):
Computational intelligence.
Automatic control.
Engineering mathematics.
Robotics.
Automation.
Computational Intelligence.
Control and Systems Theory.
Engineering Mathematics.
Control, Robotics, Automation.
Local Subjects:
Computational Intelligence.
Control and Systems Theory.
Engineering Mathematics.
Control, Robotics, Automation.
Physical Description:
1 online resource (XI, 435 pages) : 221 illustrations, 172 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book presents improved and extended versions of selected papers from EUROGEN 2019, a conference with interest on developing or applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications.
Contents:
Metaheuristics and Evolutionary Algorithms (including Evolutionary Programming, Evolution Strategies, Genetic Algorithms, Memetic Algorithms and Artificial Immune Systems, et cetera)
Multi-objective Evolutionary Algorithms and Constraint Handling Techniques
Adjoint based and One-shot Methods
Hybrid Optimisation methods (Gradient Based Methods, Combinatorial Optimization Methods, et cetera)
High Performance Computing and GPUs based Optimisation Algorithms
Goal oriented optimization for mesh and meshless methods
Game Strategies
Surrogate Models for Optimisation
Parallel and distributed Evolutionary Algorithms (from LANs to GRID)
Multi-disciplinary Optimization Methods
Design Optimisation under Uncertainties
Multi-criteria Decision Making
Topology Optimization
Aeronautics, Aerospace, and Space
Agriculture and Food Production
Automotive
Bio Engineering and Medicine
CAD and Manufacturing
Civil and Structural Engineering
Economics and Finance
Electromagnetics
Electronics
Energy, including Renewable Energy
Environment
Genetics
Material Science and Technology
Offshores, Coastal and Marine Engineering and Operations
RAMS Analysis
Risk Analysis
Smart Materials and Structures
Social Sciences and Politics
Telecommunications. .
Other Format:
Printed edition:
ISBN:
978-3-030-57422-2
9783030574222
Access Restriction:
Restricted for use by site license.

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