Results 31 to 40 of about 3,261,710 (304)

Multi-Objective Optimisation under Uncertainty with Unscented Temporal Finite Elements

open access: yesMathematics, 2021
This paper presents a novel method for multi-objective optimisation under uncertainty developed to study a range of mission trade-offs, and the impact of uncertainties on the evaluation of launch system mission designs.
Lorenzo A. Ricciardi   +2 more
doaj   +1 more source

Robust Topology Optimization for Compliant Mechanisms Considering Uncertainty of Applied Loads

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2008
In this study, a robust topology optimization method is proposed for compliant mechanisms, where the effect that variation of the input load direction has on the output displacement is considered.
Nozomu KOGISO   +4 more
doaj   +1 more source

Robust Design Problem for Multi-Source Multi-Sink Flow Networks Based on Genetic Algorithm Approach

open access: yesMathematics, 2023
Robust design problems in flow networks involve determining the optimal capacity assignments that enable the network to operate effectively even in the case of events’ occurrence such as arcs or nodes’ failures.
Sahbi Boubaker   +5 more
doaj   +1 more source

Robust design using multiobjective optimisation and artificial neural networks with application to a heat pump radial compressor

open access: yesDesign Science, 2022
Although robustness is an important consideration to guarantee the performance of designs under deviation, systems are often engineered by evaluating their performance exclusively at nominal conditions.
Soheyl Massoudi   +2 more
doaj   +1 more source

Robust Procurement Design

open access: yesProceedings of the 26th ACM Conference on Economics and Computation
We study procurement design when the buyer is uncertain about both the value of the good and the seller's cost. The buyer has a conjectured model but does not fully trust it. She first identifies mechanisms that maximize her worst-case payoff over a set of plausible models, and then selects one from this set that maximizes her expected payoff under the
Debasis Mishra   +2 more
openaire   +2 more sources

Robust Design of Suspension System with Polynomial Chaos Expansion and Machine Learning

open access: yesНаука и техника, 2020
During the early development of a new vehicle project, the uncertainty of parameters should be taken into consideration because the design may be perturbed due to real components’ complexity and manufacturing tolerances. Thus, the numerical validation of
H. Gao   +3 more
doaj   +1 more source

A method for robust design in a coupled decision environment

open access: yesDesign Science, 2021
The design of a connected engineered system requires numerous design decisions that influence one another. In a connected system that comprises numerous interacting decisions involving concurrency and hierarchy, accounting for interactions while also ...
Gehendra Sharma   +2 more
doaj   +1 more source

Latest advances and developments in aluminum shape casting [PDF]

open access: yesChina Foundry, 2013
With the increasing use of aluminum shape castings in structural applications in the automotive and aerospace industries, assurance of cast product integrity and performance has become critical in both design and manufacturing.
Qigui Wang
doaj  

Robust optimization utilizing the second-order design sensitivity information [PDF]

open access: yes, 2010
This paper presents an effective methodology for robust optimization of electromagnetic devices. To achieve the goal, the method improves the robustness of the minimum of the objective function chosen as a design solution by minimizing the second-order ...
Kim, Dong-Hun   +5 more
core   +1 more source

Multi-objective design of robust flight control systems [PDF]

open access: yes, 2008
A multi–objective evolutionary algorithm is used in the framework of H1 control theory to find the controller gains that minimize a weighted combination of the infinite–norm of the sensitivity function (for disturbance attenuation requirements) and ...
Avanzini, G.   +3 more
core   +3 more sources

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