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    Multiple Surrogate-Assisted Many-Objective Optimization for Computationally Expensive Engineering Design 

    Source: Journal of Mechanical Design:;2018:;volume( 140 ):;issue: 005:;page 51403
    Author(s): Bhattacharjee, Kalyan Shankar; Singh, Hemant Kumar; Ray, Tapabrata
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Engineering design often involves problems with multiple conflicting performance criteria, commonly referred to as multi-objective optimization problems (MOP). MOPs are known to be particularly challenging if the number ...
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