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A general method is presented for inverse reliability problems with multiple design variables and constraints.
The genetic algorithm is employed to solve the heat exchanger optimization problems with multiple design variables.
For solving the optimization problem which involves multiple design variables such as the density variable, fiber orientation variable, and target discrete orientation set, a three-step sequential optimization procedure is proposed.
The aim of this study was to investigate the behavior of temporomandibular joint implants with multiple design variables of the screws used for fixation of the implant.
The casting design optimization problem is characterized by multiple design variables, conflicting objectives and a complex search space, making it unsuitable for sensitivity-based optimization.
The paper introduces a new general method for solving the inverse reliability problem with multiple design variables and constraints that is specially suitable for practitioner engineers.
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As for Kalaam et al. [14], their study considered the implementation of bacterial foraging algorithm for optimizing multiple PI controllers' design variables in a cascaded structure.
To address this need, we develop an efficient high-fidelity hydrostructural design optimization approach that can handle large numbers of design variables, multiple design points, as well as design constraints on cavitation, maximum von Mises stress, and manufacturing tolerances.
Micro multi-objective particle swarm optimization in conjunction with kernel-learning based principle component analysis is employed to solve the corresponding many-objective problem with multiple probabilistic constraints and discrete design variables.
The approach involves the use of lower dimensional parameterisations that consist of a few design variables, which generate multiple design points.
Mathematical relationships between the design variables and the multiple discipline performance objectives are developed adaptively as the various design considerations are evaluated and as the design is being evolved.
More suggestions(15)
multiple design factors
numerous design variables
multiple design alternatives
various design variables
multiple design ideas
multiple design standards
multiple design flaws
multiple design features
multiple design options
multiple design sketches
multiple design languages
multiple design techniques
multiple candidate variables
multiple design constraints
multiple design points
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