Robust design optimization (RDO) uses statistical decision theory and optimization techniques to optimize a design over a range of uncertainty (introduced by the manufacturing process and unintended uses). Since engineering objective functions tend to be costly to evaluate and prohibitively expensive to integrate (required within RDO), surrogates are introduced to allow the use of traditional o...

Deterministic optimization does not consider uncertainties. This may lead to designs which are not robust or reliable. The use of safety factors is the common approach to cope with this problem. The main weaknesses of the achieved results are overdesign (too expensive) or underdesign (unreliable) because safety factors do not necessarily consider the special problem. Therefore robust design opt...

We discuss the robust design optimization (RDO) of the support structures of offshore wind turbines to decrease costs and variations considering uncertainties. First, an approximate model derived with design of experiment (DOE) methodology is introduced to replace the time-consuming computational dynamic response analysis of finite element (FE) models for reducing computational costs. Then, a d...

This paper deals with an enhanced robust design optimization (RDO) method and its application to the strength problem of seat belt anchorage, related front crash safety multi-purpose vehicles. In order determine rational newly developed automotive part, such as seat, in which reliability evaluation data is not sufficient at stage, it necessary implement a probabilistic considering uncertainties...

<p>In this work Rain Drop Optimization (RDO) Algorithm is projected to reduce power loss. Proceedings of drop have been imitated model the RDO algorithm. Natural action rain flowing downwardsform peak and it may form small streams during headway from mountain or hill. As by gravitation principle raindrop flow as stream then river mountains hill reach sea global optimum. Proposed evaluated...

The latest H.264/AVC video coding standard aims at significantly improving compression performance compared to all existing video coding standards. In order to achieve this, variable block-size interand intra-coding, with block sizes as large as 16 × 16 and as small as 4 × 4, is used to enable very precise depiction of motion and texture details. The Lagrangian rate-distortion optimization (RDO...

H.264/AVC, the latest video standard, adopts rate-distortion optimization (RDO) technique to obtain the best intraand interprediction, while maximizing visual quality and minimizing the required bitrate. However, the full RD cost calculation for all intra-prediction modes, the exhaustive searches for finding optimal motion vectors for all block sizes, and the multiple references frame procedure...

In H.264 video coding, the effect of the rate-distortion optimization (RDO) on compression efficiency increases while its complexity accounts for an important part of the computation burden. Discrete cosine transform (DCT) is one of the main operations performed as a part of the RDO operation. Therefore, the elimination of DCT operations may lead to a significant reduction of the computational ...

The primary objective of this study is to develop new computational methods for robust design optimization (RDO) and reliability-based design optimization (RBDO) of high-dimensional, complex engineering systems. Four major research directions, all anchored in polynomial dimensional decomposition (PDD), have been defined to meet the objective. They involve: (1) development of new sensitivity ana...

This article highlights new spline-empowered computational methods for solving robust design optimization (RDO) problems in complex mechanical systems. The are predicated on a spline dimensional decomposition (SDD) of high-dimensional, discontinuous, or nonsmooth stochastic response statistical moment analysis, novel fusion SDD and score functions calculating the second-moment sensitivities wit...