Výsledky vyhľadávania - "GENETIC programming"

A machine learning-based genetic programming algorithm for the stochastic resource-constrained project scheduling problem with 3D workspaces and carbon emissions.

Autori: Liu, Hao Zhang, Jingwen Demeulemeester, Erik a ďalší

Zdroj: International Journal of Production Research. Nov2025, p1-25. 25p. 8 Illustrations.

Predmety: *RESOURCE allocation, *PRODUCTION scheduling, MACHINE learning, GENETIC programming, REINFORCEMENT learning, STOCHASTIC programming, CARBON emissions

A novel machine-learning rolling horizon heuristic for dynamic lot-sizing and job shop scheduling problems.

Autori: Zeiträg, Yannik Figueira, José Rui

Zdroj: International Journal of Production Research. Jun2025, Vol. 63 Issue 12, p4563-4589. 27p.

Predmety: *PRODUCTION planning, *MATHEMATICAL programming, *ECONOMIC lot size, *PRODUCTION scheduling, GENETIC programming, STOCHASTIC programming, MACHINE learning

Evolve ensemble rules automatically for the block spatial scheduling under dynamic environments via surrogate-assisted cooperative evolution genetic programming.

Autori: Li, Lubo Zhang, Haohua Bai, Sijun

Zdroj: International Journal of Production Research. Mar2025, Vol. 63 Issue 6, p2010-2037. 28p.

Predmety: *OPERATIONS research, *ASSEMBLY line methods, *SHIPBUILDING, GENETIC programming, RANDOM forest algorithms

A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem.

Autori: Chen, HaoJie Li, XinYu Gao, Liang

Zdroj: International Journal of Production Research. Aug2024, Vol. 62 Issue 16, p5631-5653. 23p.

Predmety: *DYNAMIC programming, *SCHEDULING, GENETIC programming

Demographic inference in complex populations: the North African case

Autori: Serradell Noguera, Jose Miguel

Prispievatelia: University/Department: Universitat Pompeu Fabra. Departament de Medicina i Ciències de la Vida

Thesis Advisors: Comas, David, Lao Grueso, Oscar

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Human population genetics, North Africa, Demographic history, Deep-learning, Genetic programming, Genomas completos, Inteligencia Artificial, Inferencia demografica, Norte de Africa, Génetica de poblaciones

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/690463

Determinación del diámetro medio y porcentaje de medulación de fibras representativos de vellones de alpaca.

Alternate Title: Determination of the average diameter and percentage of medullation of representative fibres of alpaca fleeces.

Autori: Quispe Peña, Edgar Aliaga Gutiérrez, Jorge Gamarra Bojorquez, Jorge a ďalší

Zdroj: Revista de Investigaciones Veterinarias del Peru. 2024, Vol. 35 Issue 6, p1-16. 16p.

Predmet: Measuring instruments, Genetic programming, Rank correlation (Statistics), Alpaca, Fibers

Feature selection, construction and search space reduction based on genetic programming for high-dimensional datasets.

Autori: Herrera-Sánchez, David Mezura-Montes, Efrén Acosta-Mesa, Héctor-Gabriel a ďalší

Zdroj: Neural Computing & Applications. Nov2025, Vol. 37 Issue 33, p27557-27574. 18p.

Predmety: *FEATURE selection, *GENETIC programming, *HEURISTIC, *CLASSIFICATION

Data-driven formulation of steel fiber pull-out force in cementitious composites using genetic programming.

Autori: Kooshkaki, Ali Emamian, Seyed Ali Kazemi, Ramin a ďalší

Zdroj: Scientific Reports. 11/4/2025, Vol. 15 Issue 1, p1-21. 21p.

Predmety: *CEMENT composites, *GENETIC programming, *MATHEMATICAL formulas, *EVOLUTIONARY algorithms, *FORCE & energy, *METAL fibers, *SENSITIVITY analysis, *EMPIRICAL research

Evolution of Inherently Interpretable Visual Control Policies

Autori: Camilo De La Torre Giorgia Nadizar Yuri Lavinas a ďalší

Prispievatelia: Camilo De La Torre Giorgia Nadizar Yuri Lavinas a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :358-367

Predmety: Graph-based Genetic Programming, Cartesian Genetic Programming, Interpretable Policy, Explainability, Reinforcement Learning

Prístupová URL adresa: https://hdl.handle.net/11368/3113818

Biomarker Modelling in Omics Technologies Using Symbolic Regression

Autori: David Eduardo Rojas-Velazquez Alberto Tonda Alejandro Lopez-Rincon

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :895-898

Predmety: SDG 3 - Good Health and Well-being, Bioinformatics, Genetic Programming, Feature Selection

Prístupová URL adresa: https://research-portal.uu.nl/en/publications/49b54dc1-e0e4-4034-8e46-787134c504de
https://doi.org/10.1145/3712255.3726746

Learning the Particle Swarm Optimization Velocity Update via Genetic Programming

Autori: Frederico J. J. B. Santos Andrea De Lorenzo Luca Manzoni a ďalší

Prispievatelia: Frederico J. J. B. Santos Andrea De Lorenzo Luca Manzoni a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1966-1975

Predmety: Particle Swarm Optimization, Swarm Intelligence, Genetic Programming

Prístupová URL adresa: https://hdl.handle.net/11368/3115301

MAPLE: Multi-Action Programs through Linear Evolution for Continuous Multi-Action Reinforcement Learning

Autori: Vacher, Quentin Kelly, Stephen Naqvi, Ali a ďalší

Prispievatelia: Vacher, Quentin Kelly, Stephen Naqvi, Ali a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :1062-1071

Predmety: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Interpretability, Reinforcement Learning, Genetic programming

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-05196344v1/document
https://doi.org/10.1145/3712256.3726400
https://hal.science/hal-05196344v1

Evolutionary Synthesis of Probabilistic Programs

Autori: Romina Doz Francesca Randone Eric Medvet a ďalší

Prispievatelia: Romina Doz Francesca Randone Eric Medvet a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :999-1007

Predmety: Grammatical Evolution Genetic Programming Synthesis Probabilistic Programming

Prístupová URL adresa: https://hdl.handle.net/11368/3112658
https://dl.acm.org/doi/10.1145/3712256.3726388
https://hdl.handle.net/11368/3112658
https://dl.acm.org/doi/10.1145/3712256.3726388
https://doi.org/10.1145/3712256.3726388

Genetic Programming for Automatically Evolving Multiple Features to Classification.

Autori: Wang, Peng Xue, Bing Liang, Jing a ďalší

Zdroj: Evolutionary Computation. Fall2025, Vol. 33 Issue 3, p335-362. 28p.

Predmety: *GENETIC programming, *FEATURE selection, *DATA analysis, *BIG data, *MACHINE learning, *CLASSIFICATION, *DIMENSIONAL reduction algorithms

Genetic programming policies for bin packing in the framework of deterministic Markov decision process.

Autori: Quesada, Jesús Gil-Gala, Francisco J. Durasević, Marko a ďalší

Zdroj: Natural Computing. Sep2025, Vol. 24 Issue 3, p603-617. 15p.

Predmety: *BIN packing problem, *GENETIC programming, *WASTE minimization, *MARKOV processes, *HEURISTIC algorithms, *MATHEMATICAL programming, *MATHEMATICAL variables

Genetic programming‐based model for estimating maximum pull load of fiber‐reinforced polymer‐to‐concrete bond interfaces with graphical user interface implementation.

Autori: Tijani, Ibrahim A. Dauda, Jamiu A. Kareem, Mutiu A. a ďalší

Zdroj: Structural Concrete. Jul2025, p1. 14p. 14 Illustrations.

Predmety: *GENETIC programming, *MACHINE learning, *TENSILE strength, *PREDICTION models, *FIBER-reinforced plastics, *GRAPHICAL user interfaces

Data-driven prediction of critical water velocity for sediment incipient motion using genetic programming and machine learning.

Autori: Zhang, Shuai Li, Dongxu Zhang, Kai a ďalší

Zdroj: Physics of Fluids. Jul2025, Vol. 37 Issue 7, p1-18. 18p.

Predmety: *SEDIMENT transport, *GENETIC programming, *FLOW velocity, *MACHINE learning, *PREDICTION models, *SHEAR strength, *SENSITIVITY analysis

Modeling Delays at Signalized Intersections under Mixed Traffic Conditions.

Autori: Beura, Sambit Kumar Rao, K. Ramachandra

Zdroj: Journal of Transportation Engineering. Part A. Systems. Jul2025, Vol. 151 Issue 7, p1-13. 13p.

Predmety: *SIGNALIZED intersections, *GENETIC programming, *TIME delay estimation, *ARTIFICIAL intelligence, *FIELD research

Flexible Job Shop Composite Dispatching Rule Mining Approach Based on an Improved Genetic Programming Algorithm

Autori: Li, Xixing Zhao, Qingqing Tang, Hongtao a ďalší

Zdroj: Tsinghua Science and Technology. 29(5):1390-1408

Predmety: composite dispatching rule, deep reinforcement learning, flexible job shop scheduling, improved genetic programming algorithm

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-346821
https://doi.org/10.26599/TST.2023.9010141

A hybridisation of linear programming and genetic algorithm to solve the capacitated facility location problem.

Autori: Ozsoydan, Fehmi Burcin Gölcük, İlker

Zdroj: International Journal of Production Research. May2023, Vol. 61 Issue 10, p3331-3349. 19p.

Predmety: *PLANT layout, *LINEAR programming, GENETIC programming, GENETIC algorithms, PARTICLE swarm optimization, SWARM intelligence