Výsledky vyhľadávania - Genetic algorithm parameter adaptation

Optimizing Construction Project Plan Management Using Parameter-Adaptive Improved Genetic Algorithm

Autori: Jia, Tianya

Zdroj: Tehnički vjesnik ; ISSN 1848-6339 (Online) ; ISSN 1330-3651 (Print) ; ISSN-L 1330-3651 ; Volume 32 ; Issue 1

Predmety: construction engineering, genetic algorithm, parameter adaptation, project plan management

Popis súboru: application/pdf

Relation: https://hrcak.srce.hr/325852

Dostupnosť: https://doi.org/10.17559/TV-20240720001868
https://hrcak.srce.hr/325852
https://hrcak.srce.hr/file/471025

An investigation of factors influencing algorithm selection for high dimensional continuous optimisation problems

Autori: Graham, Kevin Brownlee, Alexander Cairns, David a ďalší

Prispievatelia: Graham, Kevin Brownlee, Alexander Cairns, David a ďalší

Predmety: 519.6, large-scale optimisation, metaheuristics, algorithm selection, automatic parameter tuning, parameter tuning, algorithm configuration, continuous optimisation, optimisation, optimization, optimisation benchmark, genetic algorithm, particle swarm optimisation, differential evolution, covarience matrix adaptation evolutionary strategy, simulated annealing, hill climbing, search-based optimisation, metaheuristic search, metaheuristic scalability, Algorithm, Simulated annealing (Mathematics)

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.800945

Bio-inspired resource allocation optimization using evolution-based genetic algorithm for vocational education skill development: A natural selection approach.

Autori: Meng, Qiang Li, Zheng

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-23, 23p

Predmety: RESOURCE allocation, VOCATIONAL education, EFFECTIVE teaching, MULTI-objective optimization, GENETIC algorithms, TALENT development

The 'One-fifth Rule' with Rollbacks for Self-Adjustment of the Population Size in the (1 + (λ,λ)) Genetic Algorithm

Autori: Anton Olegovich Bassin Maxim Viktorovich Buzdalov Anatoly Abramovich Shalyto

Zdroj: Моделирование и анализ информационных систем, Vol 27, Iss 4, Pp 488-508 (2020)

Predmety: parameter adaptation, (1 + (λ,λ)) ga, linear functions, max-3sat, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: https://www.mais-journal.ru/jour/article/view/1438; https://doaj.org/toc/1818-1015; https://doaj.org/toc/2313-5417

Prístupová URL adresa: https://doaj.org/article/cac3398a2d4741e8a69dfb16134c0df9

Modeling spatial climate change landuse adaptation with multi-objective genetic algorithms to improve resilience for rice yield and species richness and to mitigate disaster risk

Autori: Yoon, Eun Joo Thorne, James H Park, Chan a ďalší

Zdroj: Environmental Research Letters. 14(2)

Predmety: Climate Change Impacts and Adaptation, Environmental Sciences, Life Below Water, Climate Action, scenario planning, landslides, economic value, landuse conversion, trade-offs, South Korea, Meteorology & Atmospheric Sciences

Prístupová URL adresa: https://escholarship.org/uc/item/97h8n7mn

Parallel Genetic Algorithm with Parameter Adaptation

Autori: Shisanu Tongchim Prabhas Chongstitvatana Shisanu Tongchim #a a ďalší

Prispievatelia: Shisanu Tongchim Prabhas Chongstitvatana Shisanu Tongchim #a a ďalší

Zdroj: http://orange.cp.eng.chula.ac.th/~pong/ipl.ps.gz.

Predmety: Parallel Genetic Algorithm, Parameter Adaptation

Popis súboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.9600; http://orange.cp.eng.chula.ac.th/~pong/ipl.ps.gz

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.9600
http://orange.cp.eng.chula.ac.th/~pong/ipl.ps.gz

Biomechanical optimization of multi-target anti-submarine warfare using genetic algorithm and Monte Carlo simulation.

Autori: Yang, Dezhi

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-13, 13p

Predmety: ANTI-submarine warfare, MULTI-objective optimization, RESOURCE management, MONTE Carlo method, MILITARY science, RESOURCE allocation, GENETIC algorithms, BIOMECHANICS

A New Approach to Topology Optimization with Genetic Algorithm and Parameterization Level Set Function.

Autori: Pehnec, Igor Sedlar, Damir Marinic-Kragic, Ivo a ďalší

Zdroj: Computation; Jul2025, Vol. 13 Issue 7, p153, 18p

Predmety: GENETIC algorithms, GLOBAL optimization, STRUCTURAL optimization, MATHEMATICAL optimization, INTERPOLATION, LEVEL set methods

Reviews & Products: MATLAB (Computer software)

Operator and parameter adaptation in genetic algorithms

Autori: Smith, Jim Fogarty, T.C.

Predmety: genetic algorithms parameters, operators, adaptation, self-adaptive

Relation: https://uwe-repository.worktribe.com/file/1103864/1/soft97.pdf; https://uwe-repository.worktribe.com/output/1103864

Dostupnosť: https://uwe-repository.worktribe.com/output/1103864
https://doi.org/10.1007/s005000050009

Quantum Circuit Synthesis Using Fuzzy-Logic-Assisted Genetic Algorithms.

Autori: Islam, Ishraq Jha, Vinayak Thomas, Sneha a ďalší

Zdroj: Algorithms. Apr2025, Vol. 18 Issue 4, p178. 31p.

Predmety: *MULTI-objective optimization, *APPROXIMATION algorithms, *QUANTUM computing, *CIRCUIT complexity, *FUZZY logic, *QUANTUM gates

A Simultaneous Parameter Adaptation Scheme for Genetic Algorithms With Application to Phased Array Synthesis.

Autori: Boeringer, Daniel W. Werner, Douglas H. Machuga, David W.

Zdroj: IEEE Transactions on Antennas & Propagation. Jan2005 Part 2 of 2, Vol. 53 Issue 1, p356-371. 16p.

Predmety: *GENETIC algorithms, *MATHEMATICAL optimization, *MUTATIONS (Algebra), *COST, *STOCHASTIC convergence, *RESEARCH

Influence of Genetic Algorithm Parameters on Their Performance for Parameter Identification of a Yeast Fed-batch Fermentation Process Model.

Autori: Angelova, Maria Pencheva, Tania

Zdroj: International Journal Bioautomation; 2024, Vol. 28 Issue 4, p233-244, 12p

ARIMA-Genetic Algorithm Approach for Forecasting Milk Production in India.

Autori: Pandit, Pramit Bakshi, Bishvajit Paul, Moumita a ďalší

Zdroj: Asian Journal of Dairy & Food Research. Dec2024, Vol. 43 Issue 4, p784-789. 6p.

Bayesian network as an adaptive parameter setting approach for genetic algorithms

Autori: Raynald Guilbault Antoine Tahan Guillaume Corriveau a ďalší

Zdroj: Complex & Intelligent Systems. 2:1-22

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s40747-016-0010-z.pdf
https://core.ac.uk/display/81755245
https://link.springer.com/content/pdf/10.1007%2Fs40747-016-0010-z.pdf
https://link.springer.com/article/10.1007/s40747-016-0010-z
https://espace2.etsmtl.ca/id/eprint/13287/
https://paperity.org/p/76524514/bayesian-network-as-an-adaptive-parameter-setting-approach-for-genetic-algorithms

A Hybrid Quantum–Classical Architecture with Data Re-Uploading and Genetic Algorithm Optimization for Enhanced Image Classification.

Autori: Mukhanbet, Aksultan Daribayev, Beimbet

Zdroj: Computation; Aug2025, Vol. 13 Issue 8, p185, 24p

Predmety: IMAGE recognition (Computer vision), QUANTUM computing, CONVOLUTIONAL neural networks, SCIENTIFIC computing, GENETIC algorithms

Genetic Algorithm with Success History based Parameter Adaptation

Autori: Eugene Semenkin Vladimir Stanovov Shakhnaz Akhmedova

Zdroj: Proceedings of the 11th International Joint Conference on Computational Intelligence. :180-187

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/ijcci/ijcci2019.html#StanovovAS19

Parallel genetic algorithm with parameter adaptation

Autori: Prabhas Chongstitvatana Shisanu Tongchim

Zdroj: Information Processing Letters. 82:47-54

Predmety: parameter adaptation, Learning and adaptive systems in artificial intelligence, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Parallel algorithms in computer science, parallel genetic algorithm

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/1767637
https://doi.org/10.1016/s0020-0190(01)00286-1
https://www.sciencedirect.com/science/article/pii/S0020019001002861
http://www.sciencedirect.com/science/article/pii/S0020019001002861
https://dblp.uni-trier.de/db/journals/ipl/ipl82.html#TongchimC02

Fuzzy Parameter Adaptation in Genetic Algorithms for the Optimization of Fuzzy Integrators in Modular Neural Networks for Multimodal Biometry

Autori: Oscar Castillo Denisse Hidalgo Ricardo Martínez Soto a ďalší

Zdroj: Computación y Sistemas. 24

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/3329
https://dblp.uni-trier.de/db/journals/cys/cys24.html#CastilloHCMM20

A new parameter adaptation method for Genetic Algorithms and Ant Colony Optimization algorithms

Autori: Adam Byerly Alexander Uskov

Zdroj: 2016 IEEE International Conference on Electro Information Technology (EIT). :0668-0673

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/eit/eit2016.html#ByerlyU16
https://ieeexplore.ieee.org/stamp/redirect.jsp?arnumber=/7527136/7535221/07535319.pdf
http://ieeexplore.ieee.org/iel7/7527136/7535221/07535319.pdf

Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification.

Autori: R, Vishnupriya Robinson, Neethu M, Ramasubba Reddy

Zdroj: Brain-Computer Interfaces; Jun-Sep2024, Vol. 11 Issue 3, p98-109, 12p

Predmety: CONVOLUTIONAL neural networks, BRAIN-computer interfaces, MOTOR imagery (Cognition), DEEP learning, GENETIC algorithms