Results 101 to 110 of about 588,921 (316)

Learning-based ship design optimization approach

, 2012
With the development of computer applications in ship design, optimization, as a powerful approach, has been widely used in the design and analysis process.
Philip Sayer, Osman Turan, Turan, Osman, Cui, Hao, Sayer, Philip, Hao Cui   +5 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Dynamic Trajectory Planning for Autonomous Parafoil Homing Under Wind Disturbances

Aerospace
The parafoil is highly susceptible to deviations from its reference trajectory under wind disturbances. Given its constrained longitudinal control authority, it has limited capability to correct these deviations and regain the intended glide path.
Luqi Yan, Yanguo Song, Huanjin Wang, Zhiwei Shi, Yilei Song   +4 more
doaj   +1 more source

Graphical Modeling and Analysis Software for State Space-Based Optimization of Discrete Event Systems

IEEE Access, 2018
In view of the particular research objectives rather than the system's characteristics, almost all systems can be discretized regardless of original continuous or discrete pattern.
Jun Tang, Feng Zhu
doaj   +1 more source

Making Robust Decisions in Discrete Optimization Problems as a Game against Nature [PDF]

In this paper a discrete optimization problem under uncertainty is discussed. Solving such a problem can be seen as a game against nature. In order to choose a solution, the minmax and minmax regret criteria can be applied.
Adam Kasperski
core  

Hybrid behavioural-based multi-objective space trajectory optimization

, 2009
In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, M., Vasile, Massimiliano
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Mixed Time/Event-Triggered Model Predictive Tracking Control for Networked Mobile Robots

IEEE Access
Focusing on the tracking control challenges in networked mobile robot systems, this research formulates a mixed time/event-triggered model predictive control (MPC) method.
Huixin Liu, Yonghua Lai, Hongsong Lian, Guobin Wang, Dongsheng Zheng   +4 more
doaj   +1 more source

THe Use of the Box Step Method in Discrete Optimization [PDF]

The Boxstep method is used to maximize Lagrangean functions in the context of a branch-and-bound algorithm for the general discrete optimization problem.
Roy E. Marsten
core  

Integrated qualitativeness in design by multi-objective optimization and interactive evolutionary computation. [PDF]

, 2005
- The concept of qualitativeness in design is an important one, and needs to be incorporated in the optimization process for a number of reasons outlined in this paper.
Ramsden, Jeremy, Tiwari, Ashutosh, Brintrup, Alexandra Melike, Ramsden, Jeremy J., Brintrup, Alexandra   +4 more
core