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Advances in evolutionary and determi...

Gaspar-Cunha, Antonio.

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Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences/ edited by Antonio Gaspar-Cunha ... [et al.].
other author:	Gaspar-Cunha, Antonio.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xi, 435 p. :ill., digital ;24 cm.
[NT 15003449]:	Metaheuristics and Evolutionary Algorithms (including Evolutionary Programming, Evolution Strategies, Genetic Algorithms, Memetic Algorithms and Artificial Immune Systems, etc.) -- Multi-objective Evolutionary Algorithms and Constraint Handling Techniques -- Adjoint based and One-shot Methods -- Hybrid Optimisation methods (Gradient Based Methods, Combinatorial Optimization Methods, etc.) -- 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.
Contained By:	Springer Nature eBook
Subject:	Engineering mathematics - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-57422-2
ISBN:	9783030574222

Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences
Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences[electronic resource] /edited by Antonio Gaspar-Cunha ... [et al.]. - Cham :Springer International Publishing :2021. - xi, 435 p. :ill., digital ;24 cm. - Computational methods in applied sciences,v.551871-3033 ;. - Computational methods in applied sciences ;v.55..

Metaheuristics and Evolutionary Algorithms (including Evolutionary Programming, Evolution Strategies, Genetic Algorithms, Memetic Algorithms and Artificial Immune Systems, etc.) -- Multi-objective Evolutionary Algorithms and Constraint Handling Techniques -- Adjoint based and One-shot Methods -- Hybrid Optimisation methods (Gradient Based Methods, Combinatorial Optimization Methods, etc.) -- 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.

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.

ISBN: 9783030574222

Standard No.: 10.1007/978-3-030-57422-2doiSubjects--Topical Terms:

661472
Engineering mathematics
--Congresses.

LC Class. No.: TA329 / .A38 2021

Dewey Class. No.: 620.00151

Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences
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245 0 0 $a Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences $h [electronic resource] / $c edited by Antonio Gaspar-Cunha ... [et al.].
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