Výsledky vyhledávání - improved genetics programming algorithm

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

Autoři: Li, Xixing Zhao, Qingqing Tang, Hongtao a další

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

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

Popis souboru: print

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

Research on the global energy optimization of multi-source and multi-actuator hydraulic systems based on dynamic programming and improved adaptive genetic algorithm.

Autoři: Zhong, Yuhang Chen, Wenting Chen, Zihao a další

Zdroj: ISA Transactions. Oct2025, Vol. 165, p450-473. 24p.

Témata: Dynamic programming, Genetic algorithms, Green technology, Hydraulic control systems, Energy consumption

An improved genetic programming algorithm based on bloat control

Autoři: Wei Zhang De-Liang Hua Si-Hai Li a další

Zdroj: 2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). :406-413

基于动态规划算法和改进的自适应遗传算法的“多泵-多马达” 液压系统全局功率匹配研究. (Chinese)

Alternate Title: Research on Comprehensive Power Matching of "Multi-Pump and Multi-Motor" Hydraulic System Based on Dynamic Programming Algorithm and Improved Adaptive Genetic Algorithm. (English)

Autoři: 邹博识 宋昕宇 钟宇航

Zdroj: Machine Tool & Hydraulics; May2025, Vol. 53 Issue 9, p203-214, 12p

Témata: DYNAMIC programming, ENERGY consumption, CONSUMPTION (Economics), ALGORITHMS, GENETIC algorithms

Constrained Scheduling Optimization of Improved LLH Resources for Engineering Management

Autoři: Lijun Liu Luxia Ouyang

Zdroj: International Journal of Mathematical, Engineering and Management Sciences, Vol 10, Iss 6, Pp 1908-1925 (2025)

Témata: genetic programming algorithm, resource constrained project scheduling problem, engineering management, multi-objective optimization, heuristic approach, Technology, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://www.ijmems.in/cms/storage/app/public/uploads/volumes/88-IJMEMS-25-0201-10-6-1908-1925-2025.pdf; https://doaj.org/toc/2455-7749

Přístupová URL adresa: https://doaj.org/article/035b6c39cbe24b8e9ed084a3a8d87f5b

A study of gene expression programming algorithm for dynamically adjusting the parameters of genetic operators.

Autoři: Liu, Kejia Teng, Yiping Liu, Fang

Zdroj: PLoS ONE. 6/2/2025, Vol. 20 Issue 6, p1-21. 21p.

Témata: *EVOLUTIONARY algorithms, *ARTIFICIAL intelligence, *GENE expression, *PROBLEM solving, *ALGORITHMS

Design strategy of advanced generation breeding population of Pinus tabuliformis based on genetic variation and inbreeding level

Autoři: Chengcheng Zhou Fan Sun Zhiyuan Jiao a další

Zdroj: Forest Ecosystems, Vol 13, Iss , Pp 100320- (2025)

Témata: Breeding population, Parental selection strategies, Advanced generation seed orchard, Pinus tabuliformis, Seed orchard design, Improved Adaptive Genetic Programming Algorithm, Ecology, QH540-549.5

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2197562025000296; https://doaj.org/toc/2197-5620

Přístupová URL adresa: https://doaj.org/article/2b20e9a0b4d44edc97f357f7a21683f5

A Genetic Programming Approach for Computer Vision: Classifying High-level Image Features from Convolutional Layers with an Evolutionary Algorithm

Autoři: Monteiro, Rui Filipe Martins Castelli, Mauro Vanneschi, Leonardo a další

Přispěvatelé: Monteiro, Rui Filipe Martins Castelli, Mauro Vanneschi, Leonardo a další

Témata: Computer Vision, Genetic Programming, Deep Learning, Convolutional Neural Networks, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/148921

基于改进的多表达式编程算法的 木材染色配方预测.

Alternate Title: Prediction of Wood Dyeing Formula Based on Improved Multi Expression Programming Algorithm.

Autoři: 管雪梅 张威 杨渠三

Zdroj: Science Technology & Engineering. 2025, Vol. 25 Issue 7, p2865-2873. 9p.

Improved Genetic Programming Algorithm Applied to Symbolic Regression and Software Reliability Modeling

Autoři: Yongqiang Zhang Ruilan Yuan Huifang Cheng

Zdroj: Journal of Software Engineering and Applications. :354-360

Témata: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://www.scirp.org/journal/PaperDownload.aspx?paperID=1087

A reinforcement learning-assisted genetic programming algorithm for team formation problem considering person-job matching.

Autoři: Guo, Yangyang Wang, Hao He, Lei a další

Zdroj: Neurocomputing. Oct2025, Vol. 650, pN.PAG-N.PAG. 1p.

Témata: *GENETIC programming, *MACHINE learning, *REINFORCEMENT learning, *FUZZY numbers, *INTEGER programming

Improved Genetic Programming Algorithm

Autoři: Huifang Cheng Yongqiang Zhang Fangping Li

Zdroj: 2009 International Asia Symposium on Intelligent Interaction and Affective Computing. :168-171

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

Přístupová URL adresa: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005376006

A constraint programming-based genetic algorithm (CPGA) for capacity output optimization

Autoři: Goh, Kate Ean Nee Chin, Jeng Feng Loh, Wei Ping a další

Zdroj: Journal of Industrial Engineering and Management; 2014: Vol.: 7 Núm.: 5

Popis souboru: text/html

Relation: https://www.raco.cat/index.php/JIEM/article/view/291367/379800

Přístupová URL adresa: https://www.raco.cat/index.php/JIEM/article/view/291367

The Establishment of a Rock Creep Model by Using Creep Bodies via an Improved Gene Expression Programming Algorithm.

Autoři: Fan, Pingyang Chen, Junhua Qiu, Chuankun a další

Zdroj: Applied Sciences (2076-3417); May2025, Vol. 15 Issue 10, p5527, 16p

Témata: ROCK creep, GENE expression, ALGORITHMS, SUBJECTIVITY, ENGINEERING

Proteins Combined Score Prediction Based on Improved Gene Expression Programming Algorithm and Protein-Protein Interaction Network Characterization.

Autoři: Huo S Deng P Zhou J a další

Zdroj: IET systems biology [IET Syst Biol] 2025 Jan-Dec; Vol. 19 (1), pp. e70024.

Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't

Informace o časopise: Publisher: Wiley Country of Publication: England NLM ID: 101301198 Publication Model: Print Cited Medium: Internet ISSN: 1751-8857 (Electronic) Linking ISSN: 17518849 NLM ISO Abbreviation: IET Syst Biol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Algorithms* , Computational Biology*/methods , Protein Interaction Mapping*/methods , Protein Interaction Maps*

Full Inclusive Genetic Programming

Autoři: Marchetti, Francesco Castelli, Mauro Bakurov, Illya a další

Přispěvatelé: Marchetti, Francesco Castelli, Mauro Bakurov, Illya a další

Témata: Genetic Programming, Population’s Diversity, Symbolic Regression, PMLB Benchmarks, Population Initialization, Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Computational Mathematics, Control and Optimization

Popis souboru: application/pdf

Relation: 979-8-3503-0837-2; PURE: 85913472

Dostupnost: http://hdl.handle.net/10362/172917

A New Method for PMU Deployment Based on the Preprocessed Integer Programming Algorithm.

Autoři: Dan, Hanyuan Li, Zhenhua Dou, Hongda

Zdroj: Energies (19961073); Nov2025, Vol. 18 Issue 22, p5966, 12p

Témata: INTEGER programming, PHASOR measurement, ALGORITHMS, COMPUTER simulation, POWER distribution networks, RESOURCE allocation

Reviews & Products: MATLAB (Computer software)

Fast and Memory-Efficient Dynamic Programming Approach for Large-Scale EHH-Based Selection Scans Open Access.

Autoři: Rahman, Amatur Smith, T Quinn Szpiech, Zachary A

Zdroj: Molecular Biology & Evolution; Nov2025, Vol. 42 Issue 11, p1-12, 12p

Témata: HAPLOTYPES, DYNAMIC programming, ALGORITHMS, HUMAN population genetics, COMPUTER memory management, MATHEMATICAL optimization

A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching

Autoři: Guo, Yangyang Wang, Hao He, Lei a další

Témata: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2304.04022

Research on optimization strategy of dynamic planning method in resource balancing in online and offline integrated teaching in higher education.

Autoři: Kong, Linglanxuan Han, Dongtao

Zdroj: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127b, p9337-9352, 16p

Témata: DYNAMIC programming, RESOURCE allocation, BLENDED learning, HIGHER education, OPTIMIZATION algorithms