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  • 1
    UID:
    almafu_9961025002902883
    Edition: 1st ed.
    ISBN: 9789175190839
    Content: This thesis by Johan Persson investigates the efficient optimization of complex industrial products using simulation and surrogate models. It focuses on leveraging validated models for product optimization, exploring methods for handling conflicting objectives, integrating analyses from multiple models and disciplines, and employing surrogate models to optimize costly simulations. The research includes modifications to existing methods and proposes new ones, demonstrated through industrial applications like the design and optimization of industrial robots and aircraft systems. Intended for engineers, researchers, and professionals in industrial design and optimization, the thesis is a comprehensive study aimed at enhancing the efficiency of product development processes.
    Note: Abstract -- Acknowledgements -- Papers -- Contents -- 1 Introduction -- 2 Optimization Algorithms -- 3 Multi-Objective Optimization -- 4 Multi-Disciplinary Optimization -- 5 Surrogate Models -- 6 Surrogate Model Assisted Optimization -- 7 Probabilistic Optimization -- 8 Applications -- 9 Accuracy of Surrogate Models -- 10 Improving the Complex-RF Method using Surrogate Models -- 11 Methods for Robust Design Optimization -- 12 MDO of a Balancing Mechanism for Industrial Robots -- 13 Discussion -- 14 Conclusions -- Bibliography
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Linköping :Linkopings Universitet,
    UID:
    almahu_9949846523802882
    Format: 1 online resource (101 pages)
    Edition: 1st ed.
    ISBN: 9789175190839
    Series Statement: Linköping Studies in Science and Technology. Dissertations Series ; v.1655
    Additional Edition: Print version: Persson, Johan Efficient Optimization of Complex Products Linköping : Linkopings Universitet,c2015
    Language: English
    Keywords: Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Linköping :Linkopings Universitet,
    UID:
    kobvindex_HPB1372395968
    Format: 1 online resource (101 p.).
    ISBN: 9789175190839 , 9175190834
    Series Statement: Linköping University Medical Dissertations Ser. ; v.1655
    Note: Description based upon print version of record.
    Additional Edition: Print version: Persson, Johan Efficient Optimization of Complex Products Linköping : Linkopings Universitet,c2015
    Language: English
    Keywords: Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    UID:
    edoccha_9961025002902883
    Edition: 1st ed.
    ISBN: 9789175190839
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    UID:
    edocfu_9961025002902883
    Edition: 1st ed.
    ISBN: 9789175190839
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    UID:
    almahu_9949460301802882
    Edition: 1st ed.
    ISBN: 9789175190839
    Content: This thesis by Johan Persson investigates the efficient optimization of complex industrial products using simulation and surrogate models. It focuses on leveraging validated models for product optimization, exploring methods for handling conflicting objectives, integrating analyses from multiple models and disciplines, and employing surrogate models to optimize costly simulations. The research includes modifications to existing methods and proposes new ones, demonstrated through industrial applications like the design and optimization of industrial robots and aircraft systems. Intended for engineers, researchers, and professionals in industrial design and optimization, the thesis is a comprehensive study aimed at enhancing the efficiency of product development processes.
    Note: Abstract -- Acknowledgements -- Papers -- Contents -- 1 Introduction -- 2 Optimization Algorithms -- 3 Multi-Objective Optimization -- 4 Multi-Disciplinary Optimization -- 5 Surrogate Models -- 6 Surrogate Model Assisted Optimization -- 7 Probabilistic Optimization -- 8 Applications -- 9 Accuracy of Surrogate Models -- 10 Improving the Complex-RF Method using Surrogate Models -- 11 Methods for Robust Design Optimization -- 12 MDO of a Balancing Mechanism for Industrial Robots -- 13 Discussion -- 14 Conclusions -- Bibliography
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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