Search Results - distributed segment based genetics algorithm

DSGA: A Distributed Segment-Based Genetic Algorithm for Multi-Objective Outsourced Database Partitioning

Authors: Ge, Yong-Feng Zhan, Zhi-Hui Cao, Jinli et al.

Source: Information Sciences. 612:864-886

Subject Terms: DSGA, 4602 Artificial intelligence, Institute for Sustainable Industries and Liveable Cities, distributed database, 0202 electrical engineering, electronic engineering, information engineering, genetics, 4606 Distributed computing and systems software, distributed segment based genetic algorithm, 02 engineering and technology, algorithms

DSGA: A Distributed Segment-Based Genetic Algorithm for Multi-Objective Outsourced Database Partitioning

Authors: 賴奎魁 Lai, Kuei-Kuei Ge, Yong-Feng et al.

Contributors: 賴奎魁 Lai, Kuei-Kuei Ge, Yong-Feng et al.

Subject Terms: Multi-objective optimization, Evolutionary computation, Database partitioning, Distributed genetic algorithm, Smart cities

File Description: 4068715 bytes; application/pdf

Relation: Information Sciences 612, p.864-886; http://ir.lib.cyut.edu.tw:8080/handle/310901800/40960

Availability: http://ir.lib.cyut.edu.tw:8080/handle/310901800/40960
http://ir.lib.cyut.edu.tw:8080/bitstream/310901800/40960/2/期刊論文-1111230.pdf

Traversal Path Planning for Farmland in Hilly Areas Based on Floyd and Improved Genetic Algorithm

Authors: ZHOU Longgang LIU Ting LU Jinzhu

Source: 智慧农业, Vol 5, Iss 4, Pp 45-57 (2023)

Subject Terms: hilly terrain, agricultural robots, traversal path planning, floyd algorithm, improved genetic algorithm, Agriculture (General), S1-972, Technology (General), T1-995

File Description: electronic resource

Relation: http://www.smartag.net.cn/CN/abstract/abstract22171.shtml; https://doaj.org/toc/2096-8094

Access URL: https://doaj.org/article/f476e8496fb8415392d9b5d71bf94625

Investigating the reassortment potential and pathogenicity of the S segment in Akabane virus using a reverse genetics system.

Authors: Na, Eun-Jee Jeong, Chang-Gi Chae, Su-Beom et al.

Source: BMC Veterinary Research. 1/15/2025, Vol. 21 Issue 1, p1-12. 12p.

Subjects: Medical sciences, Reverse genetics, Fetal abnormalities, Arboviruses, Human abnormalities

基于改进二进制蛇优化算法的配电网故障定位.

Alternate Title: Method of Distribution Network Fault Location Based on Improved Binary Snake Optimization Algorithm.

Authors: 黎观锋 梁志坚 杨武

Source: Science Technology & Engineering. 2024, Vol. 24 Issue 18, p7710-7718. 9p.

A new distributed method based on genetic algorithm for connectivity restoration in wireless sensor networks

Authors: Mohsen Jahanshahi Hasan Ghanbari

Source: 2016 IEEE International Conference on Information and Automation (ICIA). :1893-1900

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/conf/icinfa/icinfa2016.html#GhanbariJ16

A New Adaptive Algorithm ψ‒Hamzah for Real-Time Vaccine Recalibration. Towards Sub-Millisecond Genomic Mutation Response

Authors: JALALI, SEYED RASOUL

Subject Terms: ψ–Hamzah, Hamzah Equation, adaptive algorithm, real-time vaccine recalibration, genomic mutation, rapid mutation response, sub-millisecond detection, quantum biology, fractal mathematics, integral memory, quantum integral calculus, fractal derivatives, RNA viruses, SARS-CoV-2, Influenza A, HIV, Nipah virus, Ebola virus, viral genome dynamics, antigenic mapping, vaccine optimisation, mutation forecasting, quantum computation, quantum–fractal modelling, quantum-inspired algorithms, genomic state space, quantum integral operator, wavefunction modelling, fractal wave dynamics, entropy metrics, mutation entropy, fractal entropy, probabilistic mutation pathways, mutation detection algorithm, bioinformatics, genomic surveillance, quantum genomics, nanotechnology-enabled delivery, lipid nanoparticles, magnetic nanocapsules, vaccine distribution, adaptive immunity, immunogenic epitopes, antigen redesign, molecular dynamics, docking simulations, structural vaccinology, computational vaccinology, precision medicine, personalised vaccines, pandemic prevention, pandemic modelling, global vaccine strategy, predictive immunology, computational immunology, nonlinear memory functions, nonlocal memory, genomic qubits, quantum genomic encoding, superposition principle, fractal derivative operator, adaptive RNA encoder, ψ–MutSig recognition, antigenic impact mapper, integral memory kernel, quantum transition matrix, Δ-activation tensor, genomic risk scoring, mutation trajectory forecasting, adaptive vaccine profile, probabilistic weighting, multi-scale integration, molecular systems biology, dynamic systems theory, immune response modelling, neuro-immune biochips, neuro-immune interfaces, fractal classification, RNA sequence alignment, BLAST limitations, GATK mutation detection, multiple sequence alignment, MAFFT, Clustal Omega, statistical mutation scoring, Bayesian impact factors, SIFT, PolyPhen, GERP, pharmacokinetics, in vitro testing, ex vivo testing, in vivo testing, experimental biology, synthetic biology, nanomedicine, nano-bio-reactors, biosensors, lab-on-chip, microfluidic DNA chip, bio-digital hardware, bio-NPU, neural processing units, Google TPU, Apple M4, ReRAM, memristor memory, bio-AI accelerators, ex-vivo sequencing, CRISPR-Cas systems, CRISPR–Cas13, engineered viral RNA, viral genome editing, vaccine update automation, pandemic AI, biological AI, bioinformatics–biological overlap, dynamic mutation classification, sequence entropy, Shannon entropy, log-odds scoring, mutation risk assessment, computational complexity, genomic scalability, mutation response latency, vaccine recalibration delays, immune system augmentation, nanovaccine injection, biosecurity, biodefence, biological resilience, molecular epidemiology, immunogen design, antigen structure mapping, protein folding, spike protein mutations, SARS-CoV-2 spike gene, G→A mutation, tertiary protein disruption, protein docking, ΔG binding energy, antigen redesign requirement, high-performance computing, HPC genomics, parallel quantum processing, GPU acceleration, TensorQuantum, fractal kernels, memory weighting functions, nonlinear dynamics, chaotic systems in biology, time-dependent Hamiltonians, biological state transitions, epidemic modelling, outbreak response, pandemic resilience, pandemic intelligence, AI-driven vaccine design, bio-computational vaccines, genetic drift, antigenic shift, genomic recombination, stochastic mutation events, discrete mutation jumps, viral quasispecies, antigenic diversity, immune escape, immune evasion, virology, structural virology, vaccinology, predictive vaccinology, AI vaccinology, computational virology, precision virology, cloud-based genomic surveillance, HamzahNet, distributed bio-cloud, Starlink integration, 5G bioinformatics, global genomic monitoring, GISAID integration, ENSEMBL integration, NCBI mutation datasets, collective intelligence for vaccines, evolutionary biology, phylogenetics, adaptive phylogenetics, genomic adaptation pathways, evolutionary forecasting, predictive biology, systems immunology, immuno-dynamics, immune system forecasting, T-cell activation modelling, B-cell response modelling, antibody neutralisation, nanobody engineering, epitope scanning, cross-reactive epitopes, conserved epitopes, immune memory augmentation, dynamic antigen memory, immunological big data, omics integration, proteomics, transcriptomics, epigenomics, multi-omics systems, integrative omics, bioinformatics modelling, AI-based mutation tracking, reinforcement learning for vaccines, deep learning genomic models, neural genomic architectures, mutation deep nets, recurrent mutation networks, temporal genomic modelling, predictive entropy nets, bio-inspired algorithms, fractal-inspired AI, chaos-inspired algorithms, adaptive optimisation, memory-driven AI, self-learning vaccines, living vaccines, quantum vaccines, digital vaccines, biocompatible vaccines, immune nanotechnology, nano-bio interfaces, nanoscale biosensors, biosensing nanomaterials, CNT nanoparticles, PEG polymers, graphene nanostructures, supramolecular DNA, CRISPR-templated molecules, photonic nanogrinders, nano-lithography, nano-3D lithography, synthetic biochips, quantum DNA supramolecules, biocompatible polymers, PEGylated PLA, smart polymers, ZnO nanocomposites, Fe₃O₄ nanoparticles, opsin-based memristors, optical memristors, protein-based memristors, biosensor interfaces, immune-shielding coatings, NFC biopatches, Bluetooth bio-patches, immune microchips, neurogenomic implants, vagus nerve interface, subdermal lymph node interface, blood–chip interface, EMG monitoring, EEG monitoring, neural spectroscopy, electro-genomic coupling, genomic neural implants, bio-signal integration, immune system augmentation, host immune synchronisation, in vivo adaptive response, adaptive nanovaccine injection, nanovaccine patch, clinical integration, ISO 10993 compliance, cGMP vaccine production, GLP standards, Phase 0.5 trials, biosupervision, IoT healthcare integration, smart hospitals, immune IoT, vaccine IoT, cloud-connected vaccines, pandemic IoT, pandemic AI network, universal vaccine platform, broad-spectrum vaccines, variant-proof vaccines, cross-variant vaccines, post-quantum vaccines, oscillatory vaccines, ψNet∞ integration, hyper-quantum immunology, consciousness-informed vaccines, Hamzah fractal filters, quantum-noise immunity, quantum decoherence resilience, quantum secure vaccines, quantum cryptography in health, entropy reduction in biology, intelligent entropy control, time-symmetric mutation modelling, time-folding in biology, sub-second pandemic defence, ultra-fast bioinformatics, high-sensitivity genomic scanners, mutation entropy detectors, fractional derivative scanners, chaos detection in RNA, quantum sensors for mutation, nanophotonic biosensors, plasmonic biosensors, AI–quantum hybrid models, machine learning mutation nets, transformer models for genomics, large language models for DNA, foundation genomic models, exascale bio-computation, trillion-scenario vaccine simulation, predictive cancer vaccines, universal anti-cancer vaccine, mitochondrial modelling, immuno-metabolic vaccines, regenerative medicine, precision oncology vaccines, biosecurity algorithms, defence immunology, biodefence vaccines, global vaccine network, medical AI infrastructure, vaccine cloud systems, sub-millisecond vaccinology, future vaccine revolution

Faults locating of power distribution systems based on successive PSO-GA algorithm.

Authors: Xu, Wenzhang Li, Jiachun Yang, Lv et al.

Source: Scientific Reports. 5/16/2024, Vol. 14 Issue 1, p1-9. 9p.

Subject Terms: *POWER distribution networks, *REAL numbers, *FAULT location (Engineering), *GENETIC algorithms, *ALGORITHMS, *DISTRIBUTED power generation, *BEES algorithm, *PARTICLE swarm optimization

Secure discovery of genetic relatives across large-scale and distributed genomic data sets

Authors: Matthew M. Hong David Froelicher Ricky Magner et al.

Source: Lecture Notes in Computer Science ISBN: 9781071639887
Genome Res
Res Comput Mol Biol

Subject Terms: 8. Economic growth, Method, Humans, Genomics, Article, Algorithms, Computer Security, Pedigree, 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/39027313
https://pubmed.ncbi.nlm.nih.gov/39111815

Population Structure and Genetic Diversity Among Shagya Arabian Horse Genealogical Lineages in Bulgaria Based on Microsatellite Genotyping.

Authors: Yordanov, Georgi Yordanov, Teodor Mehandjyiski, Ivan et al.

Source: Veterinary Sciences. Aug2025, Vol. 12 Issue 8, p776. 16p.

Phylogenetic characterization of two common sandflies, Phlebotomus major and P. kandelakii, in Inebolu District of the West Black Sea Region, Türkiye based on mitochondrial gene sequence analysis.

Authors: KARADEMİR, Gupse Kübra ATELGE, Mübeccel YETİŞMİŞ, Kardelen et al.

Source: Veterinary Journal of Ankara University / Ankara Universitesi Veteriner Fakultesi Dergisi. 2024, Vol. 71 Issue 4, p427-436. 10p.

Subjects: Genetic variation, Sand flies, Cytochrome b, Visceral leishmaniasis, Phlebotomus

Genetic diversity, population structure and origin of the native goats in Central Laos.

Authors: Le, Sang V. de las Heras‐Saldana, Sara Alexandri, Panoraia et al.

Source: Journal of Animal Breeding & Genetics. Sep2024, Vol. 141 Issue 5, p531-549. 19p.

Subjects: Genetic variation, Natural selection, Goats, Homozygosity, Heterozygosity, Inbreeding

Automatic Object-Based Video Segmentation Using Distributed Genetic Algorithms

Authors: Se Hyun Park Eun Yi Kim

Source: Lecture Notes in Computer Science ISBN: 9783540401551

Access URL: https://link.springer.com/chapter/10.1007/3-540-44839-X_34
https://rd.springer.com/chapter/10.1007%2F3-540-44839-X_34
https://link.springer.com/content/pdf/10.1007/3-540-44839-x_34.pdf
https://dblp.uni-trier.de/db/conf/iccsa/iccsa2003-1.html#KimP03

Escherichia coli is implicated in the development and manifestation of host susceptibility to the roundworm Trichostrongylus colubriformis infections in sheep.

Authors: Liu, Fang McNally, Jody Flemming, Damarius et al.

Source: Veterinary Research. 7/1/2025, Vol. 56 Issue 1, p1-14. 14p.

Subjects: Escherichia coli, Medical sciences, Medical microbiology, Life sciences, Medical genetics

Segment-Based Unsupervised Deep Learning for Human Activity Recognition using Accelerometer Data and SBOA based Channel Attention Networks.

Authors: Janardhan, M. Neelima, A. Siri, D. et al.

Source: International Research Journal of Multidisciplinary Technovation (IRJMT); 2024, Vol. 6 Issue 6, p1-16, 16p

Subject Terms: HUMAN activity recognition, OPTIMIZATION algorithms, DEEP learning, LEARNING, VISUAL learning

Genetic Diversity and Population Structure of Fat-Tailed Coarse-Wooled Sheep Breeds Ovis aries from Kazakhstan.

Authors: Dossybayev, Kairat Ualiyeva, Daniya Kapassuly, Tilek et al.

Source: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p988. 17p.

Derivation of indirect predictions using genomic recursions across generations in a broiler population.

Authors: Hidalgo, Jorge Lourenco, Daniela Tsuruta, Shogo et al.

Source: Journal of Animal Science. Jan2023, Vol. 101 Issue 1, p1-9. 9p. 4 Charts, 3 Graphs.

A biogeography-based optimization algorithm with local search for large-scale heterogeneous distributed scheduling with multiple process plans.

Authors: Zhang, Yaya Gu, Xingsheng

Source: Neurocomputing. Aug2024, Vol. 595, pN.PAG-N.PAG. 1p.

Subject Terms: *OPTIMIZATION algorithms, *PRODUCTION planning, *SEARCH algorithms, *MANUFACTURING processes, *DISTRIBUTED algorithms, *SCHEDULING

Phylogenetic analysis and biological characteristics of an Akabane virus isolated in China.

Authors: Li, Gan Cai, Shikai Liu, Xiyu et al.

Source: Frontiers in Veterinary Science. 2025, p1-9. 9p.

Genetic Diversity and Population Dynamics of Clinostomum spp. Using Comprehensive Bioinformatics Approaches.

Authors: Islam, Sk Injamamul Hamad, Mohamed H. Jitsamai, Wanarit et al.

Source: Veterinary Medicine International. 11/23/2024, Vol. 2024, p1-13. 13p.

Subjects: Genetic variation, Population dynamics, Haplotypes, Freshwater fishes, Fish pathogens