Results 91 to 100 of about 56,161 (302)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Intelligent discrete particle swarm optimization for multiprocessor task scheduling problem

Journal of Algorithms & Computational Technology, 2017
Discrete particle swarm optimization is one of the most recently developed population-based meta-heuristic optimization algorithm in swarm intelligence that can be used in any discrete optimization problems.
S Sarathambekai, K Umamaheswari
doaj   +1 more source

Optimized Algorithm For Particle Swarm Optimization

, 2016
Particle swarm optimization (PSO) is becoming one of the most important swarm intelligent paradigms for solving global optimization problems. Although some progress has been made to improve PSO algorithms over the last two decades, additional work is still needed to balance parameters to achieve better numerical properties of accuracy, efficiency, and ...
openaire   +2 more sources

Polarity‐Reversible Photoresponse–Driven Autonomous Wavelength Discrimination in Quantum Dot–Tellurium Thin‐Film Photodetectors via Engineered Energy‐Band Alignment

Advanced Functional Materials, EarlyView.
A quantum dot–tellurium thin‐film photodetector autonomously discriminates visible and infrared wavelengths through polarity‐reversible photoresponses. Engineered carrier separation and gain modulation enable filter‐free multispectral sensing within a single‐device architecture.
Yong Min Lee, Jungho Kim, Hyung Jin Choi, Woosik Kim, Byung Ku Jung, Young Kyun Choi, Taesung Park, Soong Ju Oh   +7 more
wiley   +1 more source

Chaotic particle swarm optimization with mutation for classification

Journal of Medical Signals and Sensors, 2015
In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space.
Zahra Assarzadeh, Ahmad Reza Naghsh-Nilchi   +1 more
doaj  

A finite-time particle swarm optimization algorithm

2012 IEEE Congress on Evolutionary Computation, 2012
This paper deals with a class of optimization problems by designing and analyzing a finite-time particle swarm optimization (FPSO) algorithm. Two versions of the FPSO algorithm, which consist of a continuous-time FPSO algorithm and a discrete-time FPSO algorithm, are proposed.
Qiang Lu 0001, Qing-Long Han
openaire   +2 more sources

Accurate angle-of-arrival measurement using particle swarm optimization

, 2010
As one of the major methods for location positioning, angle-of-arrival (AOA) estimation is a significant technology in radar, sonar, radio astronomy, and mobile communications.
Ho, Kwok Shun, Hayward, G., Minghui Li, Kwok Shun Ho, Gordon Hayward, Li, M.   +5 more
core   +1 more source

3D Printing Innovations in Polymeric Porous and Patterned Architecture

Advanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil, Sri Vaishnavi Thummalapalli, Clarissa Westover, Arunachalam Ramanathan, M. Taylor Sobzcak, Roumika Patil, Qixuan Xiang, Tiantian Li, Sui Yang, Timothy E. Long, Hongyue Sun, Xianqiao Wang, Yang Liu, Kenan Song   +13 more
wiley   +1 more source

Microfabricated Anisotropic Myobundles for the Scalable Production of Cardiac Tissue Grafts

Advanced Functional Materials, EarlyView.
Controlling the anisotropy of cardiac tissue remains an outstanding challenge in the field of cardiac tissue engineering. Here, we introduce an approach to generate anisotropic cardiac myobundles using cell‐adhesive, synthetic, electrospun fibers and stem cell‐derived cardiac fibroblasts.
Maggie E. Jewett, Javiera Jilberto, Margaret E. Stanley, David O. Ntim, Siddhi M. Bhirud, Avianna T. Schroeder, Gonzola X. Anyosa Galvez, Jingyi Xia, Samuel J. DePalma, Emmanouil Agrafiotis, Susan S. Xi, Amanda S. Bluem, Courtney M. Lestock, Adam S. Helms, David A. Nordsletten, Brendon M. Baker   +15 more
wiley   +1 more source

An Adaptive Hybrid Chicken Swarm-Particle Swarm Optimization Algorithm

Kongzhi Yu Xinxi Jishu, 2019
This paper presented a two-stage hybrid algorithm based on the improved chicken swarm algorithm and self-adjusted simplified particle swarm optimization(SASPSO) for the optimization of complex functions.
XIAO Yuhe, LI Maojun, QI Zhan, LIU Fu
doaj