Optimization of carton recycling site selection using particle swarm optimization algorithm considering residents' recycling willingness. [PDF]
Xi Y, Tao F, Brooks S.
europepmc +1 more source
Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley +1 more source
Design and control of a novel pneumatic soft robot based on the improved particle swarm optimization algorithm. [PDF]
Meng H, Zhou C, Yang X, Zhao P, Zhang W.
europepmc +1 more source
A deep memory bare-bones particle swarm optimization algorithm for single-objective optimization problems. [PDF]
Sun Y +6 more
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Multilevel learning aided coevolutionary particle swarm optimization algorithm for multiobjective fuzzy flexible job shop scheduling problem. [PDF]
Chen J, Zhao H, Cui Z, Ma T.
europepmc +1 more source
Fault Reconfiguration in Distribution Networks Based on Improved Discrete Multimodal Multi-Objective Particle Swarm Optimization Algorithm. [PDF]
Li X, Li M, Yu M, Fan Q.
europepmc +1 more source
Simple and Adaptive Particle Swarms
The substantial advances that have been made to both the theoretical and practical aspects of particle swarm optimization over the past 10 years have taken it far beyond its original intent as a biological swarm simulation.
Bratton, Daniel
core
Incremental evolution strategy for function optimization
This paper presents a novel evolutionary approach for function optimization Incremental Evolution Strategy (IES). Two strategies are proposed. One is to evolve the input variables incrementally.
Mo, W, Guan, SU
core
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source

