Suchergebnisse - (( improved genetic programming algorithm ) OR ( improved genetics programming algorithm ))~

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

Autoren: Li, Xixing Zhao, Qingqing Tang, Hongtao et al.

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

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

Dateibeschreibung: print

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

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

Autoren: Monteiro, Rui Filipe Martins Castelli, Mauro Vanneschi, Leonardo et al.

Weitere Verfasser: Monteiro, Rui Filipe Martins Castelli, Mauro Vanneschi, Leonardo et al.

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

Dateibeschreibung: application/pdf

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

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

Autoren: Goh, Kate Ean Nee Chin, Jeng Feng Loh, Wei Ping et al.

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

Dateibeschreibung: text/html

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

Zugangs-URL: https://www.raco.cat/index.php/JIEM/article/view/291367

Full Inclusive Genetic Programming

Autoren: Marchetti, Francesco Castelli, Mauro Bakurov, Illya et al.

Weitere Verfasser: Marchetti, Francesco Castelli, Mauro Bakurov, Illya et al.

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

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

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

Autoren: Kong, Linglanxuan Han, Dongtao

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

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

Ensembled Geometric Semantic Genetic Programming: An ensemble-based initialization technique for Geometric Semantic Genetic Programming

Autoren: Rosenfeld, Liah Vanneschi, Leonardo RUN

Weitere Verfasser: Rosenfeld, Liah Vanneschi, Leonardo RUN

Schlagwörter: Genetic Programming, Geometric Semantic Genetic Programming, Initialization methods, Ensemble methods, Meta-learning, Machine Learning, Evolutionary Algorithms

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/140850

Analysis of the use of repulsors to improve generalization ability in genetic programming : an application to symbolic regression problems

Autoren: Canelhas, Jorge Miguel Silvestre Vanneschi, Leonardo RUN

Weitere Verfasser: Canelhas, Jorge Miguel Silvestre Vanneschi, Leonardo RUN

Schlagwörter: Genetic algorithm, Genetic programming, Machine learning, Repulsor, Overfitting, Symbolic regression

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/28931

Genetic Algorithms and Genetic Programming : Modern Concepts and Practical Applications

Autoren: Michael Affenzeller Stefan Wagner Stephan Winkler et al.

Resource Type: eBook.

Schlagworte: Programming (Mathematics), Evolutionary computation, Algorithms, Combinatorial optimization, Computer algorithms

Categories: COMPUTERS / Programming / Games, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Programming / Algorithms, MATHEMATICS / Number Systems

Utilizing genetic programming to evaluate and predict roller-compacted concrete pavements reinforced with coal powder and basalt fiber

Autoren: Yilmaz, Ahmet Yildizel, Sadik Alper Bahrami, Alireza et al.

Quelle: The international journal of pavement engineering. 25(1)

Schlagwörter: Roller-compacted concrete, coal powder, basalt fiber, pavement, genetic programming, frost resistance

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-45354
https://doi.org/10.1080/10298436.2024.2382328

Quantification of Survey Expectations by Means of Symbolic Regression via Genetic Programming to Estimate Economic Growth in Central and Eastern European Economies

Autoren: Claveria, Oscar Monte, Enric Torra, Salvador

Quelle: Eastern European Economics, 2016 Mar 01. 54(2), 171-189.

Zugangs-URL: https://www.jstor.org/stable/26599757

Programação Genética aplicada à previsão do consumo de combustível

Genetic Programming applied to the prediction of fuel consumption

Autoren: Guarino, Ana Filipa Silva

Schlagwörter: Algoritmos Evolucionários, Programação Genética, Regressão Simbólica, Previsão, Consumo de Combustível, Evolutionary Algorithms, Genetic Programming, Symbolic Regression, Prediction, Fuel Consumption

Verfügbarkeit: https://hdl.handle.net/10316/83553

Automated design of energy functions for protein structure prediction by means of genetic programming and improved structure similarity assessment

Autoren: Widera, Paweł

Schlagwörter: 572.6, QA 75 Electronic computers. Computer science

Zugangs-URL: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519682

A hybrid gene expression programming model for discharge prediction

Autoren: Li, Shicheng Yang, James, adj prof

Quelle: Proceedings of the Institution of Civil Engineers. 176(5):223-234

Schlagwörter: data-driven modelling, Flow measurement, gene expression programming, grey relational analysis, simulated annealing, Errors, Gene expression, Genetic algorithms, Genetic programming, Learning systems, Mean square error, Regression analysis, System theory, Weirs, Data-driven model, Discharge predictions, Gene-expression programming, Gray system theory, Machine learning techniques, Performance, Probabilistic technique, Programming models, Regression method

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-313379

Genetic Programming : 22nd European Conference, EuroGP 2019, Held As Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings

Autoren: Lukas Sekanina Ting Hu Nuno Lourenço et al.

Resource Type: eBook.

Schlagworte: Algorithms, Artificial intelligence, Data mining, Computer science—Mathematics, Discrete mathematics, Artificial intelligence—Data processing, Pattern recognition systems

Categories: COMPUTERS / Programming / Algorithms, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Discrete Mathematics, MATHEMATICS / Probability & Statistics / General

Genetic Programming

Autoren: Eric Medvet Gisele Pappa Bing Xue

Resource Type: eBook.

Schlagworte: Programming languages (Electronic computers), Algorithms, Computer engineering, Computer networks, Software engineering, Artificial intelligence

Categories: COMPUTERS / Languages / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Hardware / General

Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification

Autoren: Ghane, Mostafa Ang, Mei Choo Nilashi, Mehrbakhsh et al.

Quelle: Biocybernetics and Biomedical Engineering. 42(2):902-920

Schlagwörter: Health Sciences, Hälsovetenskap, Computational Mathematics, Beräkningsmatematik, Decision tree algorithm (J48), Decision tree induction, Genetic algorithm, Genetic programming, Parkinson's disease

Zugangs-URL: https://gup.ub.gu.se/publication/317914

Genetic Programming

Autoren: Mauro Castelli Lukas Sekanina Mengjie Zhang et al.

Resource Type: eBook.

Schlagworte: Algorithms, Computer arithmetic and logic units, Artificial intelligence, Data mining, Data structures (Computer science), Information theory

Categories: COMPUTERS / Programming / Algorithms, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Information Theory, COMPUTERS / Logic Design, MATHEMATICS / Probability & Statistics / General

Evolutionary modeling approach based on multiobjective genetic programming for strip quality prediction.

Autoren: Wang, Yao Wang, Xianpeng Tang, Lixin

Quelle: Swarm & Evolutionary Computation. Apr2024, Vol. 86, pN.PAG-N.PAG. 1p.

Schlagwörter: Genetic programming, Evolutionary models, Genetic algorithms, Iron industry, Steel industry, Product quality, Machine learning

Genetic Programming : 20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings

Autoren: James McDermott Mauro Castelli Lukas Sekanina et al.

Resource Type: eBook.

Schlagworte: Algorithms, Computer science, Artificial intelligence, Application software, Computer science—Mathematics, Discrete mathematics

Categories: COMPUTERS / Programming / Algorithms, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Science, MATHEMATICS / Discrete Mathematics

Deep Semantic Learning Machine: A Convolutional Network Construction Algorithm

Autoren: Fruchtnicht, Lukas Gonçalves, Ivo Carlos Pereira Castelli, Mauro et al.

Weitere Verfasser: Fruchtnicht, Lukas Gonçalves, Ivo Carlos Pereira Castelli, Mauro et al.

Schlagwörter: Deep Semantic Learning Machine, Semantic Learning Machine, Geometric Semantic Genetic Programming, Machine Learning, Convolutional Neural Networks, Redes Neurais Convolucional, Aprendizagem Automática, Programação Genética Geométrica Semântica

Dateibeschreibung: application/pdf

Verfügbarkeit: http://hdl.handle.net/10362/123649