Abstract The computational cost of modern simulation-based optimization tends to be prohibitive in practice. Complex design problems often involve expensive constraints evaluated through Finite Element Analysis or other computationally intensive procedures. To speed up the process and deal with constraints, a new dimension-selection based constrained multi-objective (MOO) algorithm is developed...

Dual-ball-screw feed drive systems (DBSFDSs) are designed for most high-end manufacturing equipment. However, the mismatch between dynamic characteristic parameters (e.g., stiffness and inertia) P-PI cascade control method reduces accuracy of DBSFDSs owing to structural changes in motion. Moreover, controller always same even though two axes have different characteristics, it is difficult tune ...

First published: 15 February 2017 Full publication history DOI: 10.1111/ajco.12670 View/save citation Cited by: 0 articles John Wen-Cheng Chang, Jun Guo, Chia-Yen Hung , Si Lu, Sang Joon Shin, Richard Quek, Anthony Ying, Gwo Fuang Ho, Huu Sau Nguyen, Boman Dhabhar, Virote Sriuranpong, Maria Luisa Tiambeng, Nugroho Prayogo, Naoya Yamazaki Browse Early View Articles Online Version of Record publi...

Robust array beamforming is a challenging task in radar, sonar and communications due to the influence of direction arrival (DOA) mismatch sensor position errors. However, how enhance robustness key issue antenna arrays. The current paper focuses on novel approach called improved chicken swarm optimization (ICSO) method settle model conventional linearly constrained minimum variance (LCMV) base...

The tuning of optimal controller parameters in wind plant is crucial order to minimize the effect wake interaction between turbines. purpose this paper develop an improved grey wolf optimizer (I-GWO) tune turbines so that total energy production a increased. updating mechanism original GWO modified improve efficiency exploration and exploitation phase while avoiding trapping local minima soluti...

The evaluation of seismic slope performance during earthquakes is important, because the failure of slope (such as an earth dam, natural slope, or constructed earth embankment) can result in significant financial losses and human. It is important, therefore, to be able to forecast such displacements induced by earthquake. However, the traditional forecasting methods, such as empirical formulae,...

In this study, an automatic test platform suitable for steering gears was established, which can four sets of rudder systems separately. addition, we propose anomaly detection method based on deep learning technology to complete the automated multi-fault classification gear test. This paper combines particle swarm optimization algorithm and grey wolf optimize convolutional neural networks (HPSO...

Background and Aim: One of the complex processes in the Ministry of Health and Medical Education in Iran is the process of registering pharmaceutical supplies. Currently the registration process is a multi-stage process, resulting in parallel services, a waste of time and unnecessary expenses. Therefore, an integrated system will improve the relevant service delivery. The purpose of this study ...

In recent years, microservices have been very widely used as a new application development technology in edge computing, IoT, and cloud computing. Application containerization is one of its core technologies, which allows multiple containers to be deployed within the same physical node. Then single node could provide different services user. How rationally deploy on cluster nodes main research ...