Suchergebnisse - "algorithm framework"

Multi-Population Optimization Framework Based on Plant Evolutionary Strategy and Its Application to Engineering Design Problems

Autoren: Hongwei Cheng Jun Li Xiaoming Zhang et al.

Quelle: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-22 (2025)

Schlagwörter: Metaheuristic algorithms, Plant population evolution, Multi-population evolution, Optimization algorithm framework, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1875-6883

Zugangs-URL: https://doaj.org/article/1ad4911dd5104713ba1e7bb83deed675

A Quantum Algorithm Framework for Discrete Probability Distributions With Applications to Rényi Entropy Estimation: A quantum algorithm framework for discrete probability distributions with applications to Rényi entropy estimation

Autoren: Xinzhao Wang Shengyu Zhang Tongyang Li

Quelle: IEEE Transactions on Information Theory. 70:3399-3426

Schlagwörter: FOS: Computer and information sciences, Quantum Physics, Measures of information, entropy, Quantum state spaces, operational and probabilistic concepts, properties of discrete probability distributions, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Physical sciences, Quantum algorithms and complexity in the theory of computing, 0102 computer and information sciences, Rényi entropies, 01 natural sciences, unified quantum algorithm framework, Quantum computation, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Quantum Physics (quant-ph)

Dateibeschreibung: application/xml

Zugangs-URL: http://arxiv.org/abs/2212.01571
https://zbmath.org/7884804
https://doi.org/10.1109/tit.2024.3382037

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery

Autoren: Jiebin Fang Churu Mao Yuchen Zhu et al.

Schlagwörter: Biophysics, Medicine, Pharmacology, Biotechnology, Computational Biology, Space Science, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, three diverse targets, novel rock2 inhibitors, novel computational framework, latent space organization, hdac8 ), reproducing, generating structurally diverse, extensive retrospective validation, evaluation results indicate, enables systematic exploration, multiobjective optimization strategy, maintaining structural diversity, known optimization pathways, efficient molecular optimization, efficient lead optimization, incorporates scaffold constraints, success establishes dgmm, dgmm achieves state, balance structural variation, genetic algorithm framework, drug discovery faces

Verfügbarkeit: https://doi.org/10.1021/acs.jcim.5c01017.s001
https://figshare.com/articles/journal_contribution/DGMM_A_Deep_Learning-Genetic_Algorithm_Framework_for_Efficient_Lead_Optimization_in_Drug_Discovery/29680327

TLHSA and SACA: two heuristic algorithms for two variant VRP models

Autoren: Cai, Xuhong Jiang, Li Guo, Songhu et al.

Quelle: Journal of Combinatorial Optimization. 44:2996-3022

Schlagwörter: Combinatorial optimization, Transportation, logistics and supply chain management, pheromone updating, dynamical algorithm framework, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, MOPDPTW, Approximation methods and heuristics in mathematical programming, two-layers heuristic search, DVRPTW

Dateibeschreibung: application/xml

IGAOD: An online design framework for interactive genetic algorithms

Autoren: DongBo Huang Xing Xu

Quelle: SoftwareX, Vol 19, Iss , Pp 101205- (2022)

Schlagwörter: Interactive genetic algorithm, Java program language, Algorithm framework, Template design pattern, Online design, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711022001236; https://doaj.org/toc/2352-7110

Zugangs-URL: https://doaj.org/article/259ebac7d5224e4eae96d5c47a721723

Dynamic Pick-Up and Delivery Optimization With Multiple Dynamic Events in Real-World Environment

Autoren: Baofeng Sun Yue Yang Junyan Shi et al.

Quelle: IEEE Access, Vol 7, Pp 146209-146220 (2019)

Schlagwörter: tabu search algorithms, Dynamic pick-up and delivery problem, constructive algorithm, 0211 other engineering and technologies, adaptive large neighborhood search algorithms, dynamic events, dynamic algorithm framework, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08853302.pdf
https://doaj.org/article/d14b4923cca34b0fbb8a59499ca44a82

MEAMVC: A Membrane Evolutionary Algorithm for Solving Minimum Vertex Cover Problem

Autoren: Ping Guo Changsheng Quan Haizhu Chen

Quelle: IEEE Access, Vol 7, Pp 60774-60784 (2019)

Schlagwörter: minimum vertex cover problem, membrane computing, Evolutionary algorithm, membrane evolutionary algorithm framework, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08709623.pdf
https://doaj.org/article/461a579955724f53b9ca1437532db38e

ABC-X: a generalized, automatically configurable artificial bee colony framework

Autoren: Aydin, Dogan Yavuz, Gürcan Stützle, Thomas

Quelle: Swarm Intelligence. 11:1-38

Schlagwörter: Technologie informatique hardware, Automatic algorithm configuration, Informatique générale, Continuous optimization, Artificial bee colony, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Algorithm framework

Dateibeschreibung: No full-text files

Zugangs-URL: https://hdl.handle.net/20.500.12438/7116
https://aperta.ulakbim.gov.tr/record/44185

Macroscopic fundamental diagram based discrete transportation network design

Autoren: Hu, Guojing Lu, Weike Wang, Feng et al.

Quelle: Journal of Advanced Transportation, 2020, Article ID 4951953, pp. 1-14.

Schlagwörter: k-means clustering, stochastic systems, travel time, algorithm framework, traffic control, bilevel programming models

Dateibeschreibung: Text; 14 pages; 1 file (.pdf); application/pdf

Relation: https://hdl.handle.net/10877/9317; https://doi.org/10.1155/2020/4951953

Verfügbarkeit: https://hdl.handle.net/10877/9317
https://doi.org/10.1155/2020/4951953

A General Intelligent Optimization Algorithm Combination Framework with Application in Economic Load Dispatch Problems

Autoren: Jinghua Zhang Ze Dong

Quelle: Energies, Vol 12, Iss 11, p 2175 (2019)

Schlagwörter: population-based intelligent optimization algorithm, multi-behavior combination, algorithm framework, Economic load dispatch (ELD), Technology

Relation: https://www.mdpi.com/1996-1073/12/11/2175; https://doaj.org/toc/1996-1073; https://doaj.org/article/14462cd8acc34678a0591b803c1ecc84

Verfügbarkeit: https://doi.org/10.3390/en12112175
https://doaj.org/article/14462cd8acc34678a0591b803c1ecc84

Convergence analysis of new over-relaxed proximal point algorithm frameworks with errors and applications to general A-monotone nonlinear inclusion forms: Convergence analysis of new over-relaxed proximal point algorithm frameworks with errors and applications to general \( A\)-monotone nonlinear inclusion forms

Autoren: Lan, Heng-you

Quelle: Applied Mathematics and Computation. 230:154-163

Schlagwörter: Programming in abstract spaces, solvability and convergence analysis, 2. Zero hunger, Convex programming, Fixed-point theorems, Numerical mathematical programming methods, new over-relaxed proximal point algorithm framework with errors, general nonlinear inclusion form, general proximal mapping technique, general \(A\)-monotonicity, 0101 mathematics, 10. No inequality, 01 natural sciences

Dateibeschreibung: application/xml

Research on convergence of ACO subset algorithms

Autoren: Chen, Wenyu Bian, Wangyang Zeng, Ru

Quelle: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 32:649-660

Schlagwörter: nature of convergence, algorithm framework, ant colony optimization, convergence in solution, programming and algorithm theory, convergence in value, 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, probabilistic analysis, Approximation methods and heuristics in mathematical programming, 01 natural sciences

Dateibeschreibung: application/xml

An extended primal-dual algorithm framework for nonconvex problems: application to image reconstruction in spectral CT

Autoren: Yu Gao Xiaochuan Pan Chong Chen

Quelle: Inverse Problems. 38:085011

Schlagwörter: Numerical optimization and variational techniques, 03 medical and health sciences, 0302 clinical medicine, Biomedical imaging and signal processing, convexity, Numerical aspects of computer graphics, image analysis, and computational geometry, 0202 electrical engineering, electronic engineering, information engineering, extended primal-dual algorithm framework, nonconvex problems, 02 engineering and technology, spectral CT image reconstruction, nonlinear imaging, Nonconvex programming, global optimization

Dateibeschreibung: application/xml

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36185463

Rješavanje problema više trgovačkih putnika genetskim algoritmom

Autoren: Crnković, Bernard Golub, Marin

Weitere Verfasser: Crnković, Bernard Golub, Marin

Schlagwörter: ˇ radni okvir za genetske algoritme, Multiple travelling salesmen problem, evolutionary algorithm, genetski algoritam, genetic algorithm, genetic algorithm framework, Problem više trgovackih putnika, evolucijski algoritam

Dateibeschreibung: application/pdf

Zugangs-URL: https://repozitorij.fer.unizg.hr/islandora/object/fer:11159
https://repozitorij.fer.unizg.hr/islandora/object/fer:11159/datastream/PDF
https://urn.nsk.hr/urn:nbn:hr:168:926234

Optimization Methods Applied to Power Systems Ⅱ

Weitere Verfasser: Montoya, Francisco G. Baños Navarro, Raúl

Schlagwörter: electricity markets, economic dispatch, optimization, maximum capacity, online operation, power system, unit commitment, circuit breaker, network modeling, optimal power flow, wind and solar energies, gas insulated switchgear, partial discharges, electromagnetic wave propagation, UHF measurement, Security-Constraint Unit Commitment, sensitivity factors, user cuts, power line communication (PLC), energy storage management, vehicle to grid (V2G), smart grid, multi-objective optimization, population-based intelligent optimization algorithm, multi-behavior combination, algorithm framework, Economic load dispatch (ELD), dragonfly algorithm, metaheuristic, particle swarm optimization

Dateibeschreibung: application/octet-stream

Relation: ONIX_20210501_9783036503585_223; https://mdpi.com/books/pdfview/book/3496

Verfügbarkeit: https://directory.doabooks.org/handle/20.500.12854/68477
https://hdl.handle.net/20.500.12854/68477
https://mdpi.com/books/pdfview/book/3496

Lifestyle risk factor modelling for complex disease prediction with respect to prostate cancer

Autoren: Effiok, Emmanuel Eyo

Schlagwörter: lifestyle risk factors, prostate cancer, disease prediction, predictive algorithm framework, complex disease prediction

Relation: Effiok, E.E.(2018) 'Lifestyle Risk Factor Modelling for Complex Disease Prediction with respect to Prostate Cancer'. MPhil Thesis. University of Bedfordshire; https://hdl.handle.net/10547/626754

Verfügbarkeit: https://hdl.handle.net/10547/626754

Rješavanje problema više trgovačkih putnika genetskim algoritmom ; Solving multiple travelling salesmen problem using genetic algorithm

Autoren: Crnković, Bernard Golub, Marin

Weitere Verfasser: Crnković, Bernard Golub, Marin

Schlagwörter: Problem više trgovackih putnika, evolucijski algoritam, genetski algoritam, ˇ radni okvir za genetske algoritme, Multiple travelling salesmen problem, evolutionary algorithm, genetic algorithm, genetic algorithm framework

Dateibeschreibung: application/pdf

Relation: https://zir.nsk.hr/islandora/object/fer:11159; https://urn.nsk.hr/urn:nbn:hr:168:926234; https://repozitorij.unizg.hr/islandora/object/fer:11159; https://repozitorij.unizg.hr/islandora/object/fer:11159/datastream/PDF

Verfügbarkeit: https://zir.nsk.hr/islandora/object/fer:11159
https://urn.nsk.hr/urn:nbn:hr:168:926234
https://repozitorij.unizg.hr/islandora/object/fer:11159
https://repozitorij.unizg.hr/islandora/object/fer:11159/datastream/PDF

A Quadratically Approximate Framework for Constrained Optimization, Global and Local Convergence

Autoren: English Series Jin Bao Jian The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: English Series Jin Bao Jian The Pennsylvania State University CiteSeerX Archives

Quelle: http://jians.gxu.edu.cn/manage/UploadFiles/jjb_124.pdf.

Schlagwörter: quadratic approximation, algorithm framework

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.1558; http://jians.gxu.edu.cn/manage/UploadFiles/jjb_124.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.669.1558
http://jians.gxu.edu.cn/manage/UploadFiles/jjb_124.pdf