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    P3GA: An Algorithm for Technology Characterization 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 001:;page 11401
    Author(s): Galvan, Edgar; Malak, Richard J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: It is important for engineers to understand the capabilities and limitations of the technologies they consider for use in their systems. However, communicating this information can be a challenge. Mathematical characterizations ...
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    Design of Approximate Explicit Model Predictive Controller Using Parametric Optimization 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 012:;page 124501
    Author(s): Tsai, YingKuan;Malak, Richard J., Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper introduces a new technique, called stateparameterized nonlinear programming control (spNLPC), for designing a feedback controller that can stabilize intrinsically unstable nonlinear dynamical systems using ...
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    Technology Characterization Models and Their Use in Systems Design 

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 007:;page 71003
    Author(s): Parker, Robert R.; Galvan, Edgar; Malak, Richard J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Prior research suggests that setbased design representations can be useful for facilitating collaboration among engineers in a design project. However, existing setbased methods are limited in terms of how the sets are ...
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    A Study on Outcome Framing and Risk Attitude in Engineering Decisions Under Uncertainty 

    Source: Journal of Mechanical Design:;2015:;volume( 137 ):;issue: 008:;page 84501
    Author(s): Vermillion, Sean D.; Malak, Richard J.; Smallman, Rachel; Linsey, Julie
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Decision making is a central activity in the design of an engineered system and has a significant impact on project outcomes. Although much research exists on engineering decision making, relatively little addresses ...
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    A Constraint Satisfaction Algorithm for the Generalized Inverse Phase Stability Problem 

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 001:;page 11401
    Author(s): Galvan, Edgar; Malak, Richard J.; Gibbons, Sean; Arroyave, Raymundo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Researchers have used the (calculation of phase diagram) CALPHAD method to solve the forward phase stability problem of mapping from specific thermodynamic conditions (material composition, temperature, pressure, etc.) to ...
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    Efficient Parametric Optimization for Expensive Single Objective Problems 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 003:;page 031711-1
    Author(s): Weaver-Rosen, Jonathan M.; Malak, Richard J., Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Parametric optimization solves optimization problems as a function of uncontrollable or unknown parameters. Such an approach allows an engineer to gather more information than traditional optimization procedures during ...
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    Parameterized Design Optimization of a Magnetohydrodynamic Liquid Metal Active Cooling Concept 

    Source: Journal of Mechanical Design:;2016:;volume( 138 ):;issue: 003:;page 31402
    Author(s): Hartl, Darren J.; Galvan, Edgar; Malak, Richard J.; Baur, Jeffrey W.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The success of modelbased multifunctional material design efforts relies on the proper development of multiphysical models and advanced optimization algorithms. This paper addresses both in the context of a structure that ...
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    An Algorithm for Multi-Objective Efficient Parametric Optimization 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 003:;page 31709-1
    Author(s): Weaver-Rosen, Jonathan M.; Malak, Richard J., , Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Parametric optimization is the process of solving an optimization problem as a function of currently unknown or changing variables known as parameters. Parametric optimization methods have been shown to benefit engineering ...
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