... 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...

... or reproduce the published form of this paper, or allow others to do so, for United States Government purposes. 16 06 2017 24 02 2018 Mechanical Random Reliability Robustness Structural reliability Uncertainty This work examines the variability...

...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 are available during disruption. Larger systems with more nodes and more connections tend to be more robust and give correct predictions than smaller systems. Therefore, the design decision variables need to include the number of nodes, the respective prediction...

..., 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...

... that guide the evolution of the samples. Such an approach can also be found in Ref. [ 11 ]. H2020 European Research Council 10.13039/100010663 2-73985-14 Mechanical Probability Robustness Structures Uncertainty 07 07 2016...

... 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...