Results 111 to 120 of about 4,867,076 (293)

MACOC: a medoid-based ACO clustering algorithm [PDF]

, 2014
The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B., David Camacho, Héctor D. Menéndez, Otero, Fernando E.B., Camacho, David, Menendez, Hector, Menéndez, Héctor D., Fernando E. B. Otero   +7 more
core   +1 more source

Constrained Engineering Optimization Algorithm Based on Elite Selection

Journal of Algorithms & Computational Technology, 2014
Many engineering optimization problems can be state as function optimization with constrained, intelligence optimization algorithm can solve these problems well.
Xuesong Yan, Wenjing Luo, Chengyu Hu, Hong Yao, Qinghua Wu   +4 more
doaj   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

The Assessment of Straightness and Flatness Errors Using Particle Swarm Optimization [PDF]

, 2013
The straightness and flatness errors are generally assessed by using the Least Squares Method (LSM). However, the results obtained from LSM often overestimate the tolerances, and are not consistent with the ISO standards’ definitions.
Cui, Changcai, Jiang, X., Fan, W., Cui, C., Cui, C.uk, Li, T., Ye, Ruifang, Blunt, L.A., Blunt, L. A., Huang, H., Ye, R.   +10 more
core   +1 more source

Degradable, Skin‐Conformal Nanocomposite‐Based Bioelectronic Patches for High‐Fidelity Electrophysiology and Gesture‐Controlled Robotics

Advanced Functional Materials, EarlyView.
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong, Hongna Yuan, Shubo Liu, Abdulkadir Sanli, Emiliano Bilotti, Han Zhang, Pietro Cataldi, Karin Hing, Oliver Fenwick, Colin J. Humphreys, Dimitrios G. Papageorgiou   +10 more
wiley   +1 more source

Hierarchical Swarm Model: A New Approach to Optimization

Discrete Dynamics in Nature and Society, 2010
This paper presents a novel optimization model called hierarchical swarm optimization (HSO), which simulates the natural hierarchical complex system from where more complex intelligence can emerge for complex problems solving.
Hanning Chen, Yunlong Zhu, Kunyuan Hu, Xiaoxian He   +3 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Global Optimization by Particle Swarm Method:A Fortran Program [PDF]

Programs that work very well in optimizing convex functions very often perform poorly when the problem has multiple local minima or maxima. They are often caught or trapped in the local minima/maxima.
Mishra, SK
core  

A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems [PDF]

, 2011
Copyright @ 2011 Taylor & Francis.Many real-world optimisation problems are both dynamic and multi-modal, which require an optimisation algorithm not only to find as many optima under a specific environment as possible, but also to track their moving ...
Wang, H, Yang, S, Hongfeng Wang, W.H. Ip, Shengxiang Yang, Dingwei Wang, Yang, Shengxiang, Ip, WH, Wang, D   +8 more
core   +1 more source

NEW SWARM INTELLIGENCE BASED OPTIMIZATION ALGORITHMS FOR THE OPTIMIZATION OF MICROGRIDS

European Journal of Technic, 2018
The need for new energy sources has increased due to reasons such as the development of technology, the increase in electricity demand, the decrease of fossil resources, and environmental pollution. Renewable energy sources are self-renewing, friendly, and clean energy sources.
TANYILDIZI AĞIR, Tuba, TANYILDIZI AĞIR, Tuba   +1 more
openaire   +3 more sources