Results 71 to 80 of about 240,959 (297)
Jixie chuandong, 2003 Genetic Algorithm （GA） is an intelligent search algorithm which is parallel,random,self-adapting,self-organixing. The algorithm simulates nature selection and genetic mechamism in the process of biologic evolution.
黄乾贵, 张艳
doaj
Synchrotron Radiation for Quantum Technology
Advanced Functional Materials, EarlyView.Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics
Advanced Functional Materials, EarlyView.Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro +4 more
wiley +1 more source
Hybrid genetic simulated annealing algorithm based on niching for QoS multicast routing
Tongxin xuebao, 2008 Aiming at the problem of multicast routing with multiple QoS constraint,a new genetic algorithm（GA） was brought up based on the simulated annealing（SA） mechanism. The algorithm combined the capability of local optimiza-tion of SA with global optimization
FAN Yi-ming1 +2 more
doaj +2 more sources
NERV: A Parallel Processor for Standard Genetic Algorithms [PDF]
, 1995 This paper describes the implementation of a standard genetic algorithm (GA) on the MIMD multiprocessor system NERV. It discusses the special features of the NERV hardware which can be utilized for an efficient implementation of a GA without changing the
Hauser, Rainer +2 more
core +2 more sources
Advanced Functional Materials, EarlyView.This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou +4 more
wiley +1 more source
Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm
Sensors, 2008 A valid unsupervised and multiscale segmentation of synthetic aperture radar(SAR) imagery is proposed by a combination GA-EM of the Expectation Maximization(EM) algorith with the genetic algorithm (GA).
Ze-Tao Jiang, Hua Zhang, Xian-Bin Wen
doaj
Optimize the Activity-on-Arc Network Planning Through the Structure Matrix and Genetic Algorithm
IEEE AccessThe resource-constrained project scheduling problem (RCPSP) poses several challenges for optimizing activity-on-arc network planning. The existing genetic algorithms for solving this problem have high computational complexity and low efficiency in terms ...
Gongyu Hou +4 more
doaj +1 more source
Representing Space: A Hybrid Genetic Algorithm for Aesthetic Graph Layout [PDF]
, 1998 This paper describes a hybrid Genetic Algorithm (GA) that is used to improve the layout of a graph according to a number of aesthetic criteria.
Hobbs, M.H.W., Rodgers, Peter
core +1 more source
Defect Analysis of the β– to γ–Ga2O3 Phase Transition
Advanced Functional Materials, EarlyView.The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas +9 more
wiley +1 more source