Hybrid genetic simulated annealing algorithm based on niching for QoS multicast routing
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
Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm
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
PV Optimization With Genetic Algorithm-Based MPPT Method
This research designs and implements a Maximum Power Point Tracking (MPPT) system based on genetic algorithm (GA) on buck-boost converter using Arduino microcontroller to increase energy conversion efficiency on PV system.
Ayas Sutomo Hadi Hadi +2 more
doaj +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Optimize the Activity-on-Arc Network Planning Through the Structure Matrix and Genetic Algorithm
The 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
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Understanding Machining Process Parameters and Optimization of High-Speed Turning of NiTi SMA Using Response Surface Method (RSM) and Genetic Algorithm (GA). [PDF]
Zhao Y, Cui L, Sivalingam V, Sun J.
europepmc +1 more source
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches. [PDF]
Mohd Hanid MH +9 more
europepmc +1 more source
Sub‐nm2 Ferroelectric Domains via Charged 180° Walls in ZrO2
Ferroelectric ZrO2${\rm ZrO}_2$ thin films host closely spaced charged 180∘$^{\circ }$ domain walls that vertically compress polar domains beyond their lateral half‐unit‐cell limit. These head‐to‐head and tail‐to‐tail walls show distinct bulk‐like structures, natural oxygen‐mediated stabilization, and highly asymmetric mobility, highlighting new ...
Nashrah Afroze +33 more
wiley +1 more source

