... into a local optimum. Therefore, a novel target-oriented KH (TOKH) algorithm is proposed in this study to optimize the design of discrete truss structures. Initially, a crossover operator is established between the “best krill” and “suboptimal krill” to generate a robust “cross krill” for global exploration...

... the networks' resilience. Increasing the ability of metrorail networks to withstand such perturbations requires robustness and vulnerability assessments as key attributes of resilience and necessary steps toward developing reliable networks. Most models developed for this purpose associate a network's failures...

... of robustness to uncertainty as developed in info-gap decision theory. We explain that maximizing the robustness is complementary to—but distinct from—minimizing a measure of effort of the learning procedure. 1 Corresponding author. e-mail:  yakov@technion.ac.il e-mail:  scott.cogan@univ-fcomte.fr...

... how the information entropy expresses the probabilistic uncertainties due to nonuniform probability distributions of system states. Next, it argues that the conditional entropy of system operational and failure states appropriately describes both system redundancy and robustness. Finally, the article...

... and robustness of sparse-data UQ methods. The simple and easily applied tolerance interval UQ method performed encouraging well on the can crush UQ test-bed. When only N  = 4 representative synthetic stress–strain curves (randomly picked from large populations...

...Aimee Cloutier; James Yang The development of robust and adaptable methods of grasping force optimization (GFO) is an important consideration for robotic devices, especially those which are designed to interact naturally with a variety of objects. Along with considerations for the computational...

... that the system resilience and robustness are sensitively dependent on the fusion rules. During the system design process, information aggregation rules also need to be optimized based on the expected dynamics of performance. The simulation studies...

..., 2017. Assoc. Editor: Alba Sofi. 08 02 2017 09 07 2017 Decision making Mechanical Robustness Uncertainty In the early phase of systems design, decisions have to be made without complete information. In vehicle development, e.g., components have to be specified, although...

... is quantified using the statistical mean-squared error in kriging to improve the robustness of the searching method. 8:    Insert a penalized term d avg to stabilize f RBF (⋅) 9:    Compute the weights: 10:     w l ← f RBF ( d avg , d l ) 11:   end...

...-mail:  stewu@ism.ac.jp 2 Corresponding author. 1 Present address: The Institute of Statistical Mathematics, 10–3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan. Mechanical Probability Robustness Structures Uncertainty References [1] Gordon...

... in reduction of cost and time for new product development. However, a deterministic optimum design often resides at the boundary of failure domain, leaving little or no room for modeling imperfections, parameter uncertainties, and/or human error. In this study, an operational model-based robust design...

.... In this paper, we design a general resilient and robust control framework for a time-delay variable speed permanent magnet synchronous generator (PMSG)-based WECS. A linear matrix inequality-based control approach is developed to accommodate the unstructured model uncertainties, L 2 type of external...