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Robust design under a multidisciplinary environment is a challenging problem in modern quality engineering because of the organizational and computational burden. In this paper, a probabilistic analytical target cascading (PATC) methodology combined with Kriging metamodel (PATC-KRG) is proposed for robust design of engineering systems considering both objective robustness and feasibility robustness...
Due to a lack of complete information, epistemic uncertainty widely exists in engineering structures and mechanical systems. Evidence theory, which has a general and flexible framework, has been used to quantify the epistemic uncertainty and conduct reliability analysis recently. However, the discontinuous nature of uncertainty quantification using evidence theory can cause expensive computational...
Probabilistic Analytical Target Cascading (PATC) is developed for hierarchical multi-disciplinary design optimization under random uncertainty. In this method, to let all parts of the designed system work well together, coordination strategies should be used. Traditionally, consistency constraints (equality constraints) are formulated as inequality constraints by adding corresponding parameters which...
The Kalman filtering(KF) has been implemented as the primary scheme for many land vehicle navigation and positioning applications. However, it has been reported that the KF-based techniques have limitations that it assumes the noise is Gaussian white and the system model must be known exactly. Due to the complicated vehicle tracking environment in urban area(signal disappear, attenuation or reflection)...
In this paper, an improved genetic algorithm for optimization of flexible job-shop scheduling problem with fuzzy processing time and fuzzy due date is presented, which is used to research the complexities and essences of this problem. Firstly, the optimization model under uncertainty environment is built, and the objectives are to maximize the average agreement index, and minimize the maximum of fuzzy...
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