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Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems

Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems PDF Author: Esther Andrés-Pérez
Publisher: Springer
ISBN: 3319898906
Category : Technology & Engineering
Languages : en
Pages : 544

Book Description
This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.

Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems

Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems PDF Author: Esther Andrés-Pérez
Publisher: Springer
ISBN: 3319898906
Category : Technology & Engineering
Languages : en
Pages : 544

Book Description
This book contains thirty-five selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2017). This was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters reflect the state of the art in theoretical and numerical methods and tools for optimization, and engineering design and societal applications. The volume focuses particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.

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 PDF Author: Edmondo Minisci
Publisher: Springer
ISBN: 3319899880
Category : Technology & Engineering
Languages : en
Pages : 566

Book Description
This volume presents up-to-date material on the state of the art in evolutionary and deterministic methods for design, optimization and control with applications to industrial and societal problems from Europe, Asia, and America. EUROGEN 2015 was the 11th of a series of International Conferences devoted to bringing together specialists from universities, research institutions and industries developing or applying evolutionary and deterministic methods in design optimization, with emphasis on solving industrial and societal problems. The conference was organised around a number of parallel symposia, regular sessions, and keynote lectures focused on surrogate-based optimization in aerodynamic design, adjoint methods for steady & unsteady optimization, multi-disciplinary design optimization, holistic optimization in marine design, game strategies combined with evolutionary computation, optimization under uncertainty, topology optimization, optimal planning, shape optimization, and production scheduling.

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 PDF Author: David Greiner
Publisher: Springer
ISBN: 3319115413
Category : Technology & Engineering
Languages : en
Pages : 522

Book Description
This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013). The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters are classified in the following sections: theoretical and numerical methods and tools for optimization (theoretical methods and tools; numerical methods and tools) and engineering design and societal applications (turbo machinery; structures, materials and civil engineering; aeronautics and astronautics; societal applications; electrical and electronics applications), focused particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.

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 PDF Author: António Gaspar-Cunha
Publisher: Springer Nature
ISBN: 3030574229
Category : Technology & Engineering
Languages : en
Pages : 435

Book Description
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.

Evolutionary and deterministic methods for design, optimization and control : applications to industrial and societal problems ; [EUROGEN 2007, Jyväskylä, Finland, 11-13 June 2007]

Evolutionary and deterministic methods for design, optimization and control : applications to industrial and societal problems ; [EUROGEN 2007, Jyväskylä, Finland, 11-13 June 2007] PDF Author: Pekka Neittaanmäki
Publisher:
ISBN: 9788496736450
Category :
Languages : en
Pages : 494

Book Description


Computational Intelligence in Reliability Engineering

Computational Intelligence in Reliability Engineering PDF Author: Gregory Levitin
Publisher: Springer
ISBN: 3540373683
Category : Technology & Engineering
Languages : en
Pages : 398

Book Description
This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in recent years. It also contains chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques.

Multiobjective Problem Solving from Nature

Multiobjective Problem Solving from Nature PDF Author: Joshua Knowles
Publisher: Springer Science & Business Media
ISBN: 3540729631
Category : Computers
Languages : en
Pages : 413

Book Description
This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.

Smart Electromechanical Systems

Smart Electromechanical Systems PDF Author: Andrey E. Gorodetskiy
Publisher: Springer
ISBN: 3319997599
Category : Technology & Engineering
Languages : en
Pages : 337

Book Description
This book presents the latest achievements in the theory and practice of SEMS Group interaction by scientists from the Russian Academy of Sciences. It also discusses the development of methods for the design and simulation of SEMS Group interaction based on the principles of safety, flexibility and adaptability in behavior and intelligence and parallelism in information processing, computation and control. Recently, the task has been to ensure the functioning of robots within the framework of collective collaboration, so that they function efficiently, reliably and safely in real time. The topics covered include, but are not limited to, the following: - the planning behavior of the SEMS group;- methods and principles of designing of automatic control systems;- mathematical and computer modeling group interaction;- safety, flexibility and adaptability of the SEMS Group;- information-measuring soft- and hardware. This book is intended for students, scientists and engineers specializing in the field of smart electromechanical systems and robotics.

Uncertainty Management for Robust Industrial Design in Aeronautics

Uncertainty Management for Robust Industrial Design in Aeronautics PDF Author: Charles Hirsch
Publisher: Springer
ISBN: 331977767X
Category : Technology & Engineering
Languages : en
Pages : 819

Book Description
This book covers cutting-edge findings related to uncertainty quantification and optimization under uncertainties (i.e. robust and reliable optimization), with a special emphasis on aeronautics and turbomachinery, although not limited to these fields. It describes new methods for uncertainty quantification, such as non-intrusive polynomial chaos, collocation methods, perturbation methods, as well as adjoint based and multi-level Monte Carlo methods. It includes methods for characterization of most influential uncertainties, as well as formulations for robust and reliable design optimization. A distinctive element of the book is the unique collection of test cases with prescribed uncertainties, which are representative of the current engineering practice of the industrial consortium partners involved in UMRIDA, a level 1 collaborative project within the European Commission's Seventh Framework Programme (FP7). All developed methods are benchmarked against these industrial challenges. Moreover, the book includes a section dedicated to Best Practice Guidelines for uncertainty quantification and robust design optimization, summarizing the findings obtained by the consortium members within the UMRIDA project. All in all, the book offers a authoritative guide to cutting-edge methodologies for uncertainty management in engineering design, covers a wide range of applications and discusses new ideas for future research and interdisciplinary collaborations.

Parallel Problem Solving from Nature - PPSN X

Parallel Problem Solving from Nature - PPSN X PDF Author: Günter Rudolph
Publisher: Springer Science & Business Media
ISBN: 3540876995
Category : Computers
Languages : en
Pages : 1183

Book Description
This book constitutes the refereed proceedings of the 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008, held in Dortmund, Germany, in September 2008. The 114 revised full papers presented were carefully reviewed and selected from 206 submissions. The conference covers a wide range of topics, such as evolutionary computation, quantum computation, molecular computation, neural computation, artificial life, swarm intelligence, artificial ant systems, artificial immune systems, self-organizing systems, emergent behaviors, and applications to real-world problems. The paper are organized in topical sections on formal theory, new techniques, experimental analysis, multiobjective optimization, hybrid methods, and applications.