Results 181 to 190 of about 56,161 (302)

A twinning bare bones particle swarm optimization algorithm. [PDF]

PLoS One, 2022
Guo J, Shi B, Yan K, Di Y, Tang J, Xiao H, Sato Y.   +6 more
europepmc   +1 more source

Repulsive Particle Swarm Method on Some Difficult Test Problems of Global Optimization

In this paper we test a particular variant of the (Repulsive) Particle Swarm method on some rather difficult global optimization problems. A number of these problems are collected from the extant literature and a few of them are newly introduced.
Mishra, SK
core  

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Research on hybrid strategy Particle Swarm Optimization algorithm and its applications. [PDF]

Sci Rep
Yao J, Luo X, Li F, Li J, Dou J, Luo H.
europepmc   +1 more source

Retracted: Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Graphene‐Interfaced Stretchable Sweat Patch for Multiplexed Electrochemical Monitoring of IL‐6, Glucose, and Calcium Ions

Advanced Materials Technologies, EarlyView.
Flexible sweat sensor patch integrating graphene‑interfaced gold microelectrodes functionalized with bio‑receptors and ion‑selective membrane, coupled with a capillary‑driven microfluidic layer and portable potentiostat electronics for multiplexed monitoring of inflammatory, metabolic, and electrolyte biomarkers in microliter sweat volumes.
Roomia Memon, Ali Tufani, Süleyman Çelik, Javed H. Niazi, Anjum Qureshi   +4 more
wiley   +1 more source

Performance of Differential Evolution and Particle Swarm Methods on Some Relatively Harder Multi-modal Benchmark Functions

Our objective in this paper is to compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, some relatively difficult test functions have been chosen.
Mishra, SK
core   +2 more sources

Predicting peak particle velocity in pre-splitting of gas-producing devices using improved particle swarm optimization algorithm. [PDF]

Sci Rep
Cao Y, Ma R, Zhao K, Du X, Liu W, Gao Q.
europepmc   +1 more source

A particle swarm optimization algorithm based on an improved deb criterion for constrained optimization problems. [PDF]

PeerJ Comput Sci, 2022
Sun Y, Shi W, Gao Y.
europepmc   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

Advanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov, Mahdi Shanei, Mikael Käll   +2 more
wiley   +1 more source