Results 221 to 230 of about 644,997 (352)

Quantum-enhanced artificial potential field method for robust drone swarm shape formation. [PDF]

Sci Rep
Almaameri I, Blázovics L.
europepmc   +1 more source

213 Multi-Objective Particle Swarm Optimization Considering the Diversity of the inferior solutions

, 2008
北山 哲士, 荒川 雅生, 山崎 光悦   +2 more
openalex   +2 more sources

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Optimization of power grid material warehousing and supply chain distribution path planning based on improved PSO algorithm. [PDF]

Sci Rep
Ge J, Wang T, Hu K, Wang J, Wu J, Wang J, Wu J.   +6 more
europepmc   +1 more source

Multi-stages & Multi-models Particle Swarm Optimization Based Wireless Sensor Networks Coverage

, 2011
Li Lv
openalex   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

Improved whale optimization for time-optimal and collision-free trajectory planning in dual-arm robots. [PDF]

Sci Rep
Du Y, Xu C, Wang Y, Liu Y, Wang Y, Jin J.   +5 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Indoor WiFi fingerprint localization based on dual population PSO of stacked autoencoder and multi label classification. [PDF]

Sci Rep
Cheng Y, Zhang K, Zheng B, Long K, Zhou Y, Jin M, He J.   +6 more
europepmc   +1 more source

A hybrid Particle Swarm Evolutionary Algorithm for Constrained Multi-Objective Optimization [PDF]

, 2010
Jingxuan Wei, Yuping Wang, Hua Wang
openalex